Volume Table of Contents

PROCEEDINGS VOLUME 10462

APPLIED OPTICS AND PHOTONICS CHINA (AOPC2017) | 4-6 JUNE 2017

AOPC 2017: Optical Sensing and Imaging Technology and Applications

Editor(s): Yadong Jiang, Haimei Gong, Weibiao Chen, Jin Li

Editor Affiliations +

IN THIS VOLUME

2 Sessions, 201 Papers, 0 Presentations

Front Matter: Volume 10462 (1)

Optical Sensing and Imaging Technology and Applications (200)

APPLIED OPTICS AND PHOTONICS CHINA (AOPC2017)

4-6 June 2017

Beijing, China

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Front Matter: Volume 10462

Front Matter: Volume 10462 Open Access

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046201 (2018) https://doi.org/10.1117/12.2297053

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Optical Sensing and Imaging Technology and Applications

Coarse-to-fine geometric and photometric image registration Paper

Jieping Xu, Jin Liu, Zongfu Huang, Yonghui Liang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046202 (2017) https://doi.org/10.1117/12.2281123

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Single-image super-resolution based on sparse kernel ridge regression Paper

Fanlu Wu, Xiangjun Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046203 (2017) https://doi.org/10.1117/12.2281290

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Particle detection of quartz sandstone by using terahertz time-domain spectroscopy Paper

Zhikui Wu, Rima Bao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046204 (2017) https://doi.org/10.1117/12.2281398

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Denoising algorithm in dual-wavelength images of retinal oximetry using variance stabilizing transform and cross dual domain filter Paper

Yong-Li Xian, Yun Dai, Chun-ming Gao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046205 (2017) https://doi.org/10.1117/12.2281401

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Research on active and passive detection for space debris Paper

Juan Zhang, Lin Li, Xuefeng Wu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046206 (2017) https://doi.org/10.1117/12.2281443

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Calibration of polarization and adjustment error of high-NA spherical surface testing in point diffraction interferometry Paper

Yao Li, Yongying Yang, Chen Wang, Yuankai Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046207 (2017) https://doi.org/10.1117/12.2281494

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Extremally similar regions sifting for moving object segmentation in infrared videos Paper

Hua Ye, Guanzheng Tan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046208 (2017) https://doi.org/10.1117/12.2281500

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A new method to estimate SNR of remote sensing imagery Paper

Bo Zhu, Chuanrong Li, Xinhong Wang, Chaoliang Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046209 (2017) https://doi.org/10.1117/12.2281522

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The improved deconvolution video restoration technology based on the infrared detection system Paper

Si-jian Li, Xiang Fan, Bin Zhu, Zheng-dong Cheng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620A (2017) https://doi.org/10.1117/12.2281525

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Bayesian multi-frame super-resolution of differently exposed images Paper

Jieping Xu, Yonghui Liang, Jin Liu, Zongfu Huang, Xuewen Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620B (2017) https://doi.org/10.1117/12.2281556

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Hyperspectral face recognition based on spatio-spectral fusion and local binary pattern Paper

Zhihua Xie, Peng Jiang, Shuai Zhang, Jinquan Xiong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620C (2017) https://doi.org/10.1117/12.2281920

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Identification of conveyor belt injury based on image texture SVM classification method Paper

Chen Yang, Yajun Song, Jinbao Yang, Yachao Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620D (2017) https://doi.org/10.1117/12.2282029

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In the field of steel wire core conveyor belt detection, the X-ray detection method has been widely used for its accuracy and reliability. But as a result of the monotonous, baldness and plenty of X-ray image, it is necessary to apply the computer image processing techniques to identification wire injury accurately and automatically. Then the injury can be located in the actual conveyor belt to maintenance and repair. And the joint is an important part of the conveyor belt, for it is easy to recognize in the practical application, so as the benchmark to joint reference point positioning fault is a good choice. Therefore, the accurate identification of joint is very important to conveyor belt injury locational. At present there are some algorithms applying the method of detecting domain gray level or horizontal gradient change frequency in the identification of joint. These algorithms can be accurate to single image of joint without considering the practical complex and changeable X-ray image for the different thickness of the conveyor belt outer rubber. For single image characteristics of the proposed algorithm is easy to failure in practical application. A new robust algorithm is necessary to solve this problem. And SVM(Support Vector Machine) is a novel method of machine learning evolving from Statistics. SVM presents many own advantages in solving machine learning problems such as small samples, nonlinearity and high dimension. In this paper, the image texture SVM classification method construct feature vectors through the extraction of image gray level co-occurrence matrix texture information. classified feature vectors using the SVM classification method to determine whether the image contains joint and provide the joint location information. The mentioned texture information include gray-level co-occurrence matrix energy, contrast and entropy. And the gray level co-occurrence matrix reflects the image direction, adjacent interval and the change in value of integrated information. SVM classification method is applied to locate the joints number and position on the real conveyor belt. And by means of image binarization, skeleton and such as pretreatments, this paper use the method of template matching for the identification wire fracture. Finally the method locate injury on the real conveyor belt according to the fracture position and joint position of the pixel distance. The results show that the image texture SVM classification method can effectively combine the method of template matching for the identification of conveyor belt injury.

Target interpretation of visible light image and infrared image fusion method Paper

Wei Sun, Wen Xiao, Feng Pan, Chao Du

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620E (2017) https://doi.org/10.1117/12.2282251

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Denoising processing of MIE-polarization lidar signal using wavelet Paper

Hui Yang, Xuesong Zhao, Jiesong Ye, Yanfei Sun, Tiedong Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620F (2017) https://doi.org/10.1117/12.2282267

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A method of gaze estimation for wearable multi-camera devices using stereo vision Paper

Zijing Wan, Xiangjun Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620G (2017) https://doi.org/10.1117/12.2282347

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Design and implementation of multi-spectral multi-axis parallel calibration system Paper

Jia-ju Ying, Jian-ling Yin, Jie Liu, Yu-dan Chen, Fu-yu Huang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620H (2017) https://doi.org/10.1117/12.2282348

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Objective lens design of polarization imaging in haze environment Paper

Shuang Wang, Guanyu Wen, Juntong Zhan , Qiang Fu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620I (2017) https://doi.org/10.1117/12.2282352

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A fast approach against large foreground motion in real-time image stabilization Paper

Yajin Xie, Huajun Feng, Zhihai Xu, Qi Li, Jiazi Huang, Yueting Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620J (2017) https://doi.org/10.1117/12.2282358

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Long focal length large aperture optical passive athermalization MWIR optical system Paper

Hong-xing He

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620K (2017) https://doi.org/10.1117/12.2282359

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Discussion on the optimal deconvolution for electro-optical imaging systems Paper

Jiantao Peng, Jianyue Ren

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620L (2017) https://doi.org/10.1117/12.2282450

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Dual channel and fast response optical fiber temperature detection system based on Raman scattering Paper

Jiacheng Hu, Zeguo Liu, Zijian Wang, Guoyang Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620M (2017) https://doi.org/10.1117/12.2282511

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Salt-and-pepper noise removal in polarization optics imaging Paper

Guo-ming Xu, Lei-ji Lu, Lian-you Gong, Meng-en Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620N (2017) https://doi.org/10.1117/12.2282518

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Design of a visible optical passive ranging system based on micro main board Paper

Jin-bao Yang, Chen Yang, Ya-chao Liu, Ya-jun Song

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620O (2017) https://doi.org/10.1117/12.2282585

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Design of inspection system for surface defects on industrial parts under complex background Paper

Yudan Wang, Desheng Wen, Zongxi Song

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620P (2017) https://doi.org/10.1117/12.2282664

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LOS stabilization model for ship swaying based on subdivision iterative algorithm Paper

Shan Qiao, Shunfa Liu, Chunsheng Xiang, Guoming Fang, Yufeng Tan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620Q (2017) https://doi.org/10.1117/12.2282782

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Spectrum analysis on geological profile: a case study of Luzong area in Anhui China Paper

Lin Liu, Jiachun Guo

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620R (2017) https://doi.org/10.1117/12.2282810

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In order to further research the geological composition by spectral reflectance characteristics in Luzong area, this study was performed. Using ASD spectraradiometer (FieldSpec-FR), the spectra from multiple profiles were collected, the distance of 100cm from the testing surface was used. The spectral curves were smoothed with the moving average method, and the continuum removal was conducted to highlight features of optical absorbance. Each spectral curve gave the main characteristic composition of the profile, and the spectral curves from different profiles were compared and analyzed, some typical differences could be obtained obviously. All the profiles in the study area saw some similar spectral behavior: there were absorbing valleys at 900 1450 1900 2200nm, but the number of absorbing valleys and the bandlength of them were a little different .That is to say, the main structure and component can be obtained by testing spectrum without the help of other professional testing equipment. Using spectral analyst tool of ENVI 5.0 to give a comprehensive score, several minerals obtained high score, some of them clearly inconsistent with the actual were excluded, then the main minerals of the profiles were finalized, and which were consistent with those given by geological materials. For some profiles, the main composition and the relative proportion were also calculated out by the method of linear spectral decomposition, these results gave detailed components of the selected profiles, which had higher value and reliability than the former. Thus the differences between these profiles were also found. Another aim of this paper was to study the method to inversion material compositions and try to provide some useful references for spectrum analysis. Furthermore, through detailed analysis on the results, it was also found that the measuring distance of 100cm from testing surface was still effective in field spectrum survey, the main structure and component could be obtained by these testing spectra. In order to grasp the nature of things quickly, a larger distance is feasible and necessary, macroscopic geological structure was provided quickly and accurately, which was not affected by local and microscopic interference. Unfortunately, there were some detail information lost, and the testing effect of 10cm from the testing surface will also be analyzed deeply in future.

An improved high-accuracy centroid detection method for Shack-Hartmann wavefront sensor Paper

Suiting He, Feng Shen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620S (2017) https://doi.org/10.1117/12.2282823

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Sea ice features extraction near the South Shetland Islands with Sentinel-1 SAR data Paper

Cailan Gong, Wenqi Zhang, Shengmao Zhang, Wei Fan, Licheng Luo, Yong Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620T (2017) https://doi.org/10.1117/12.2282826

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Study of infrared and UV dual color warning system based on lobster-eye optics Paper

Dongdong Jin, Wencong Wang, Huijun Hu, Xinbo Chu, Sipei Shao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620U (2017) https://doi.org/10.1117/12.2282835

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Research of ship scene simulation based on SE-Workbench-EO Paper

Juan Lin, Jing Ma, Kaifeng Wu, Jie Wu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620V (2017) https://doi.org/10.1117/12.2282902

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Design of 1024x3 ROIC with TDI for scanning type IRFPA imaging Paper

Gongyuan Zhao, Mao Ye, Kai Hu, Yiqiang Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620W (2017) https://doi.org/10.1117/12.2282932

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3D discriminative feature selection for mid-level representation Paper

Jie Zhang, Junhua Sun

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620X (2017) https://doi.org/10.1117/12.2282948

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Laser radar range profile analysis and simulation Paper

Jianbiao Chen, Huayan Sun, Yanzhong Zhao, Congmiao Shan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620Y (2017) https://doi.org/10.1117/12.2283005

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Object tracking via Spatio-Temporal Context learning based on multi-feature fusion in stationary scene Paper

Yunfei Cheng, Wu Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620Z (2017) https://doi.org/10.1117/12.2283058

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Violent video detection based on MoGLOH feature Paper

Wu Wang, Yunfei Cheng, Lijuan Hong, Wen Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046210 (2017) https://doi.org/10.1117/12.2283062

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On the evaluation method of anti-ship missile against passive compound jamming Paper

Zhenxing Liu, Qian Ma

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046211 (2017) https://doi.org/10.1117/12.2283121

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A star image registration algorithm based on joint feature matching Paper

Zhao Li, Yan Wen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046212 (2017) https://doi.org/10.1117/12.2283215

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Correction of over-exposure using dark channel prior and image fusion technique Paper

Chenwei Yang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen, Haiying Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046213 (2017) https://doi.org/10.1117/12.2283230

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Design of a four-quadrant detector for the laser seeker of guided gun-launched projectile Paper

Ke Liang, Jia-wei Wang, Ke-yu Qi, Zheng Huang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046214 (2017) https://doi.org/10.1117/12.2283259

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Adaptive neural network non-uniformity correction algorithm for infrared focal plane array based on bi-exponential edge-preserving smoother Paper

Yongyi Yu, Lingxiao Li, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen, Haiying Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046215 (2017) https://doi.org/10.1117/12.2283262

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Method for reducing the degradation effects of EMI wire grid on the optic performance Paper

Zhifeng Li, Zhenhong Niu, Jianhua Li, Qian Zhao, Xin Liu, Jiaqi Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046216 (2017) https://doi.org/10.1117/12.2283274

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Dispersion compensation of linear frequency modulated wave based on SSB modulation and pre-distortion Paper

Xiao Yang, Shangyuan Li, Xiaoxiao Xue, Xiaoping Zheng, Bingkun Zhou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046217 (2017) https://doi.org/10.1117/12.2283301

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Design of a bulk acoustic wave filter for wi-fi band Paper

Le Jia, Yang Gao, Chao Han

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046218 (2017) https://doi.org/10.1117/12.2283305

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Analysis on gamma irradiation sensing mechanisms of thin film bulk acoustic resonators Paper

Yu-hang Wang, Yang Gao, Bin Han, Jun-guang Lv

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046219 (2017) https://doi.org/10.1117/12.2283331

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Automatic position and guidance system for space manipulator operation based on videometrics Paper

Xiongfeng Zhang, Yang Shang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621A (2017) https://doi.org/10.1117/12.2283357

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High precision measurement method of laser divergence angle based on CCD imaging Paper

Cheng-hao Jiang, Jing-guo Zhu, Feng Li, Meng-lin Li, Yang Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621B (2017) https://doi.org/10.1117/12.2283454

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Nonlinear changes of chlorophyll-a fluorescence with laser induced saturation Paper

Xiao-long Li, Fei Yu, Yong-hua Chen, Jing-bo Jiang, Qing-kui Liu, Yan He, Wei-biao Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621C (2017) https://doi.org/10.1117/12.2283458

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Design of flame detection video camera system based on DSP Paper

Wen-long Liu, Yun Li, Yong-zheng Liu, Liang Kong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621D (2017) https://doi.org/10.1117/12.2283467

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A terahertz image super-resolution reconstruction algorithm based on the deep convolutional neural network Paper

Zeng Li, Zhaofeng Cen, Xiaotong Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621E (2017) https://doi.org/10.1117/12.2283469

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Visibility-enhanced dual-band infrared image fusion based on nonsubsampled contourlet transform Paper

Zhao-yang Li, Jin-mei Zhou, Yu Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621F (2017) https://doi.org/10.1117/12.2283474

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Transmission characteristics of terahertz laser in underdense plasmas generated by DC discharge Paper

Runhui Wu, Jiaqi Liu, Xin Liu, Gang Meng, Aimin Ren, Xia Ai, Mingliang Wang, Yanan Li, Juyan Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621G (2017) https://doi.org/10.1117/12.2283480

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Accurate solution of oblique reference wave for tilt phase aberration correction in digital off-axis holography Paper

Fang Li, Ming-qing Wang, Ming Zheng, Wei Lu, Qing-nan Yu, Yan Jia, Jian Wu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621H (2017) https://doi.org/10.1117/12.2283524

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Two distortion correcting methods for fisheye images Paper

Zhi Wang, Zhaofeng Cen, Xiaotong Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621I (2017) https://doi.org/10.1117/12.2283532

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External calibration experiments of airborne millimeter-wave cloud radar using corner reflectors Paper

Tao Wen, Mingyuan He, Daoqing Song, Zheng Ni, Wenkai Yang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621J (2017) https://doi.org/10.1117/12.2283533

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A method for remote sensing image restoration using gyroscope sensor Paper

Wenshuang Wu, Huajun Feng, Lirong He, Zhihai Xu, Qi Li, Yueting Chen, Chenwei Yang, Zhenzhen Zheng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621K (2017) https://doi.org/10.1117/12.2283540

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A robust evaluation method for motion distortion of TDICCD image Paper

Jiazi Huang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen, Zhenzhen Zheng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621L (2017) https://doi.org/10.1117/12.2283551

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Design of imaging circuitry of space CCD camera based on FPGA Paper

Meiying Liu, Desheng Wen, Hu Wang, Yang Liu, Hui Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621M (2017) https://doi.org/10.1117/12.2284098

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Infrared image simulation for dynamic decoy Paper

Ling-xia Wu, Yong Wang, Hong-wu Yuan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621N (2017) https://doi.org/10.1117/12.2284112

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Enhancing uniform intensity distribution in 4D light field data of plenoptic camera Paper

Xiang Wang, Lin Li, Guangqi Hou, Xuefeng Wu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621O (2017) https://doi.org/10.1117/12.2284114

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SURE-based optimization of image restoration for optical sensing Paper

Feng Xue, Lu Gao, Xin Liu, Jiaqi Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621P (2017) https://doi.org/10.1117/12.2284117

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Performance analysis of multi-Gaussian beams steered by rotational Risley-prism-array Paper

Feng Chen, Haotong Ma, Li Dong, Ge Ren, Bo Qi, Yufeng Tan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621Q (2017) https://doi.org/10.1117/12.2284121

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Classification and quality evaluation of ginned cotton based on color image fusion technique Paper

Zhi-Yong Chen, Xiao-Hui Li, Bin Xiao, Zhifeng Zhang, Yu-Rong Li, Li-Jie Geng, Yu-Sheng Zhai, Yong-You Han

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621R (2017) https://doi.org/10.1117/12.2284166

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Study on train wheel tread detects detection and classification Paper

Yi-ming Tang, Xin-Jie Wang, Zhi-Feng Zhang, Yu-Rong Li, Li-Jie Geng, Yu-Sheng Zhai, Yu-Ling Su, Yong-You Han

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621S (2017) https://doi.org/10.1117/12.2284173

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Ocean color retrieval based on time-series data during a red tide Paper

Bing Mu, Tingwei Cui, Ping Qin, Rongjie Liu, Pingjian Song, Ronger Zheng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621T (2017) https://doi.org/10.1117/12.2284190

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The application of image super-resolution reconstruction based on compressed sensing in the intelligent mobile terminal Paper

Zhenmin Zhu, Fei Teng, Haolin Sun, Yujiao Tang, Tongyu Wan, Pei Lu, Xiaoyong Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621U (2017) https://doi.org/10.1117/12.2284270

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SOPC-based real-time spots detection and ordering for an artificial compound eye of 3D object detection Paper

Huijie Jian, Jianzheng He, Keyi Wang, Xiangcheng Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621V (2017) https://doi.org/10.1117/12.2284284

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Polarization characteristics of the paint plate based on single reflection Paper

Yun-Zhi Wu, Xiao Liu, Ling Yao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621W (2017) https://doi.org/10.1117/12.2284285

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A compact finger-vein identification system based on infrared imaging Paper

Si Di, Jian Jin

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621X (2017) https://doi.org/10.1117/12.2284304

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Measurement of temporal and spatial distribution of smoke concentration field based on image processing Paper

Weibo Liu, Huimin Chen, Fengjie Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621Y (2017) https://doi.org/10.1117/12.2284309

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Stray light correction of array spectroradiometer in ultraviolet band using lasers and filters Paper

Zhi-feng Wu, Cai-hong Dai, Ling Li, Yan-fei Wang, YuJiao Ruan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621Z (2017) https://doi.org/10.1117/12.2284310

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Study on image quality assessment under foggy condition Paper

Xiangfeng Xue, Hui Yang, Song Xue, Zhibin Hou, Lan Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046220 (2017) https://doi.org/10.1117/12.2284312

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Underwater linear object detection based on optical imaging Paper

Tao Xu, Kecheng Yang, Min Xia, Wei Li, Wenping Guo

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046221 (2017) https://doi.org/10.1117/12.2284320

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Characteristic research on terahertz radar: cross-section measurement and imaging Paper

Dachuan Liang, Minggui Wei, Jianqiang Gu, Zhen Tian, Chunmei Ouyang, Jiaguang Han, Weili Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046222 (2017) https://doi.org/10.1117/12.2284333

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The application of wavelet transform in processing the signal of solar spectrograph Paper

Sheng Huang, Si-long Zhang, Zai-hong Hou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046223 (2017) https://doi.org/10.1117/12.2284366

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Polarization image enhancement based on depth image segmentation in haze weather Paper

Yong Wang, Qi Liu, Yu-sheng Han

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046224 (2017) https://doi.org/10.1117/12.2284375

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Target tracking of structure algorithm based on skeleton and corner for extended objects Paper

Bo Zhai, Tian-bing He, You-shan Qu, Fan Xu, Yong-jiao Ge

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046225 (2017) https://doi.org/10.1117/12.2284381

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Fast image haze-removal algorithm based on mixed filter Paper

XinYu He, Chengjun Xie

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046226 (2017) https://doi.org/10.1117/12.2284382

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The application of GPS positioning accuracy optimization algorithm based on support vector machine (SVM) theory in atmospheric remote sensing Paper

Wenjie Yin, Feng He, SiLong Zhang, Xu Jing, ZaiHong Hou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046227 (2017) https://doi.org/10.1117/12.2284384

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Control of the focal depth by annular phase-only pupil filters Paper

Xiaofeng Zhao, Changqing Liu, Chuanxun Hou, Yinpeng Wei, Zhili Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046228 (2017) https://doi.org/10.1117/12.2284393

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Hand vein image enhancement based on phase congruency Paper

Zhuo Peng, Zhiyong Wang, Xiaoping Yang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046229 (2017) https://doi.org/10.1117/12.2284397

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Calculation of atmospheric attenuation at 90~100GHz Paper

Hao Liu, Xia Li, Xingrun Liu, Yanbing Dong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622A (2017) https://doi.org/10.1117/12.2284447

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Convolutional neural networks based on sparse coding for human postures recognition Paper

Ning Yang, Yawei Li, Yuliang Yang, Mengyu Zhu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622B (2017) https://doi.org/10.1117/12.2284449

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Image quality improvement in optical diffraction tomography by multiple numerical propagations and separated reconstructions Paper

Xichao Ma, Wen Xiao, Feng Pan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622C (2017) https://doi.org/10.1117/12.2284457

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Resolution-improved Fourier ptychographic microscopy using high-numerical-aperture condenser Paper

Jiasong Sun, Qian Chen, Chao Zuo, Liang Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622D (2017) https://doi.org/10.1117/12.2284458

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High-resolution (HR) and wide field-of-view (FOV) microscopic imaging plays a central role in diverse applications such as high-throughput screening and digital pathology. However, for bright-field microscopy system, high-resolution and wide field-of-view (FOV) always could not be achieved simultaneously, limiting its applications which require large space-bandwidth-product (SBP). Various super-resolution techniques have been proposed to break this limitation, such as on-chip sub-pixel scanning methods, structured illumination microscopy, and Fourier ptychographic microscopy (FPM). Among these super-resolution techniques, FPM became increasingly popular recently since it can combine the numerical apertures (NAs) of the objective lens and the illumination light to form a larger synthetic system NA without sacrificing the FOV. Thus, the resolution-FOV tradeoff can be effectively decoupled in FPM. In addition, it is also very convenient to build an FPM system by simply replacing the illumination system of a bright-field microscope with a commercial programmable LED board. Lately, a lot of efforts have been made to improve the accuracy and efficiency of FPM, however, to date, the effective imaging NA achievable with a typical FPM system is still limited to the range of 0.4-0.7. Here, we build an FPM platform using an oil-immersion condenser to boost the resolution of a bright-field microscopy system and significantly increase its SBP. This FPM system involves a 10X 0.4NA objective lens and a 1.2NA oil-immersion condenser to synthesize a system NA of 1.6. We confirmed the accuracy of this technique by achieving a half-pitch resolution of 154 nm at a wavelength of 435 nm with a FOV of 2.34 mm², corresponding to an SBP of 98.5 megapixels (~ 50 times higher than that of the conventional incoherent microscope with the same resolution). We also demonstrated the effectiveness of this approach by imaging various biological samples, such as human blood smears. Our work indicates that FPM is an attractive method which could broadly benefit wide-field imaging applications that demand large SBP, and it still has a great potential to achieve much larger SBP of bright-field microscopes.

A new image fusion and monitored control system based on Raspberry Pi and Yeelink platform Paper

Wei Gao, Chao Shen, Zongxi Song, Lijun Dan, Fengtao Wang, Yuqing He

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622E (2017) https://doi.org/10.1117/12.2284474

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Fluorescence instrument based on direct view holographic grating prism for remote sensing Paper

Lanjun Sun, Yanchao Zhang, Shiyou Fu, Zhaoshuo Tian

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622F (2017) https://doi.org/10.1117/12.2284485

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SMT stencil automatic registration based on MBR Paper

Qi Zhang, Wei Li, Min Xia

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622G (2017) https://doi.org/10.1117/12.2284645

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Simulation and analysis of laser beam adaptive focusing using an extended uncooperative target in the loop Paper

Zhiqiang Wang, Chengyu Fan, Pengfei Zhang, Chunhong Qiao, Tao Jiang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622H (2017) https://doi.org/10.1117/12.2284742

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Real-time haze removal by GPU acceleration based on dark channel prior algorithm Paper

Huan Xu, Wending Xiang, Wenjin Liu, Zhenghua Guo, Junlong Wu, Ping Yang, Bing Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622I (2017) https://doi.org/10.1117/12.2284753

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BP neural network used in recognition algorithm for star pattern Paper

Jiang-cao Li, Hong-gang Wei

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622J (2017) https://doi.org/10.1117/12.2284758

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A multispectral target tracking algorithm based on particle filter Paper

Zhen-zhen Gao, Geng Zhang, Bing-liang Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622K (2017) https://doi.org/10.1117/12.2284791

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Method of student identification through college classroom surveillance videos using deep learning features and label propagation Paper

Bo Sun, Bojie Rong, Jun He

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622L (2017) https://doi.org/10.1117/12.2284886

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Infrared dim and small target background suppression based on improved anisotropy filtering Paper

Xiangsuo Fan, Zhiyong Xu, Jianlin Zhang, Yongmei Huang, Zhenming Peng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622M (2017) https://doi.org/10.1117/12.2284888

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Analysis of laser intensity attenuation and compensation and the influence on imaging through particle field Paper

Xiangju Qu, Yang Song, Liang Xu, Ying Jin, Zhenhua Li, Anzhi He

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622N (2017) https://doi.org/10.1117/12.2284901

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Accurate camera calibration with color phase-shifting wedge grating arrays Paper

Bolin Cai, Keyi Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622O (2017) https://doi.org/10.1117/12.2284906

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Design of multi band laser echo detection system Paper

Baolin Du, Xiaomei Chen, Leili Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622P (2017) https://doi.org/10.1117/12.2284922

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Immune particle filter algorithm for target tracking based on histograms of color and oriented gradient Paper

Linshun Luo, Xiangsuo Fan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622Q (2017) https://doi.org/10.1117/12.2284926

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Adaptive learning rate method based on Nesterov accelerated gradient Paper

Zhenxing Xu, Ping Yang, Bing Xu, Heping Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622R (2017) https://doi.org/10.1117/12.2284928

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Noise properties of the calculated linear polarization image Paper

Jian'an Liang, Xia Wang, Si He, Weiqi Jin, Xiaotian Lu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622S (2017) https://doi.org/10.1117/12.2284931

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Realization of measurement method in angle intersection based on MATLAB Paper

Xin Zhou, ZhiXiang Zhang, HongJing Zeng, Rui Cao, ZhaoHeng Du

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622T (2017) https://doi.org/10.1117/12.2284945

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Accuracy Measurement on aerial track of moving target is one of the major target for photoelectric theodolite, which target is solved by angle intersection algorithm of two-stations. For analyzing the accuracy and the photoelectric theodolite of the angle intersection measurement, this paper simulated 6 aerocrafts’ tracks. L,K algorithms of coplanar rendezvous and MLE algorithms of non-uniplanar intersection were used to measure aerocrafts’ tracks. The measurement result was relative analyzed with simulation track in angle intersection, then the L,K ,MLE algorithm’s applicability was fixed. One aerocraft track of simulation was chosen to measure by MLE algorithm in different station-setting conditions. The measurement error was compared in intersection angle, azimuth angle, pitching angle, baseline length, station location. And the relation between the conditions and measurement accuracy of tracks was fixed. Also the condition of station-setting was fixed. The work above has directive significance in the intersection algorithm choice and station-setting later.

Measurement elements of optical equipment are teams of A, E, which is shorten as nAE. The nAE is belong to angle intersection measurement mechanism [1]. The optical equipment usually supplies angle information only, two-stations theodolites or n-station theodolites are used in solid intersection measurement, and spacial coordinate of aerocraft is fixed [2]. This method is called angle intersection measurement. This article simulated 4 aerocrafts tracks, and used 3 algorithms above to measure the tracks [3]. The measurement result was relative analyzed with simulation tracks in intersection angle, and the L, K, MLE algorithm’s applicability was fixed [4].

Usage of photoelectric theodolite faces the problem of station-setting, and the station-setting directly influences the measurement accuracy of track [5]. This article chooses one aerocraft track to measure by MLE algorithm in different condition of station-setting. The measurement error was relative analyzed in intersection angle, azimuth angle, pitching angle, baseline length and station location, by which the relation between measurement accuracy and 5 conditions was fixed. The condition of station-setting was fixed on the base.

An improved longitude-latitude mapping algorithm for fisheye image calibration Paper

Yan Zhao, Hongxing Xie, Jianmin Yao, Enguo Chen, Sheng Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622U (2017) https://doi.org/10.1117/12.2284950

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Comparison of two types of color transfer algorithms in YUV and Lab color spaces Paper

Guiyuan Wang, Rongguo Fu, Bin Sun, Jin Lv, Tianyu Sheng, Yuqing Tan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622V (2017) https://doi.org/10.1117/12.2284953

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An improved phase diversity wavefront sensor based on the altered exposure time of camera Paper

Qingfeng Kong, Shuai Wang, Ping Yang, Xin Yu, Boheng Lai, Boqing Pang, Yong Liu, Bing Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622W (2017) https://doi.org/10.1117/12.2284962

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A sub-µW low temperature sensitivity CMOS RC oscillator Paper

Ruishan Xin, Mao Ye, Kai Hu, Yiqiang Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622X (2017) https://doi.org/10.1117/12.2284965

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An optical nano-antenna structure of metallic ball array for enhancement of near-infrared photodetection Paper

Pengfei Yao, Tao Li, Xue Li, Xiumei Shao, Haimei Gong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622Y (2017) https://doi.org/10.1117/12.2284991

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One-parameter l₁ prior in variational Bayesian super resolution Paper

Lei Min, Ping Yang, Wenjin Liu, Yinsen Luan, Bing Xu, Yong Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622Z (2017) https://doi.org/10.1117/12.2284993

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Automatic fall detection using optical flow and shape context from the panorama view Paper

Yandi Li, Xiping Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046230 (2017) https://doi.org/10.1117/12.2285004

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Centroid computing of far-field spots based on sub-aperture retro array Paper

Feilong Wang, Shijie Hu, Bing Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046231 (2017) https://doi.org/10.1117/12.2285007

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Performance of InGaAs/InP planar infrared detector with different passivation films Paper

Honghai Deng, Haibao Shao, Bo Yang, Jing Huang, Zhiliang Wang, Xue Li, Xiumei Shao, Haimei Gong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046232 (2017) https://doi.org/10.1117/12.2285012

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Cloud motion measurement from satellite images using iterative multigrid image deformation approach Paper

Jing Luo, Xichao Teng, Xiaohu Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046233 (2017) https://doi.org/10.1117/12.2285013

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The measurement of cloud motion is very useful in weather forecast and natural disaster management. This paper is focus on accurately estimating cloud motion from a sequences of satellite images. Due to the complexity of cloud motion, which is a non-rigid movement and implying non-linear events, we cannot adopt some simple motion models and need to develop new algorithms. We presented a new method for cloud motion measurement based on image matching. We use the Iterative Multigrid Image Deformation (IMID) technique to measure the cloud movement at sub pixel accuracy, and for the alignment of image sub-regions differing in translation, rotation angle, and uniform scale factor, we change the correlation method from discrete Cartesian cross correlations to the phase correlation based on the Fourier-Mellin Transformation (FMT) which is invariant to translation, rotation and scaling. The phase correlation based on FMT can directly estimate the rotation angle and scale factor between satellite images. For cloud regions with large rotation angle or scale factors, our method can get more accurate motion estimation than traditional correlations by searching the deformation parameters using Cartesian cross correlation. In addition, the iterative multigrid framework aims at improving the precision of motion measurement by refining the size of cloud regions. To validate the performance of our algorithm, we process a cloudy satellite image with known geometric transformation, including translation, rotation and scaling to simulate a sequence of satellite images, and apply our method to measure the velocity fields of clouds. We also apply our algorithm to the sequence of real satellite images. Our results show that IMID technique with FMT can significantly decrease the displacement error compared to traditional correlation methods, especially in regions with large velocity gradients or high rates of rotation.

An optimization method for improving the accuracy of centroid computation based on Shack-Hartmann wavefront sensor Paper

Xiaoyu Zhang, Caixia Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046234 (2017) https://doi.org/10.1117/12.2285026

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Laser spot center location algorithm based on sub-pixel interpolation Paper

Tong Liu, Yan Tian, Jingyao Wu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046235 (2017) https://doi.org/10.1117/12.2285027

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Aircraft relative attitude measurement based on binocular vision Paper

Yincen Zhao, Geng Zhang, Bingliang Hu, Bo Peng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046236 (2017) https://doi.org/10.1117/12.2285028

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Taylor series-based generic demosaicking algorithm for multispectral image Paper

Jiatong Han, Geng Zhang, Xuebin Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046237 (2017) https://doi.org/10.1117/12.2285052

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Study of underway salinity monitoring device based on optical refractive index measurement Paper

Long Yu, Junyao Chen, Wenping Guo, Kecheng Yang, Xiaojun Yin

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046238 (2017) https://doi.org/10.1117/12.2285116

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Visual and infrared image fusion algorithm based on adaptive PCNN Paper

Yajun Song, Chen Yang, Zhi Chai, Jinbao Yang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046239 (2017) https://doi.org/10.1117/12.2285118

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As the third generation artificial neural network, pulse coupled neural network (PCNN) which consider the characteristics of neurobiology of time coding and spatial accumulation, getting incomparable advantages comparing with the traditional artificial neural network, has broad application prospects in image fusion. In recent years, improving traditional model and adaptive adjustment of key parameters of the model have become major focuses gradually. In this paper, a novel visual and infrared image fusion algorithm is presented based on a new modified PCNN model. The key parameter of linking strength of the model is calculated with the character of the input images adaptively. Firstly, the modified PCNN employs index map and threshold look-up table to improve traditional PCNN model. Threshold look-up table records the thresholds which correspond to the different iteration layers of the modified PCNN model. To improve the computing speed of modified model, the thresholds could be calculated before the modified model starts to compute, which reduces the computing burden of traditional model to get the thresholds. Index map records the firing time of the input image’s pixels during modified PCNN model computing. The values of index map represent the integrating results of similar pixels in space neighborhood of the input image, which reflect the global visual features of the input image. Then, aiding method is used to compute the value of linking strength of modified PCNN model. The linking strength represents the degree that the linking input modulates the feeding input of the current neuron. If the value of linking strength can be decided in accordance with the specific characteristics of the input images, better fusion performance should be gotten in theory. Considering visual image has more detail information of target and infrared image has more energy character of target, local entropy and local energy are combined with the linking strength parameter of modified PCNN model for visual and infrared image separately in the proposed method of this paper. Finally, original visual and infrared image are processed with the modified PCNN model by calculating the linking strength using above procedure. The image fusion rules based on the index maps of visual and infrared image are used to calculate the fusion image. In order to evaluate the performance of the proposed method, a large number of experiments are made. In the experiments, the typical image sets which selected in many related papers are processed with the proposed method and wavelet transform separately. The different fusion images are evaluated with subjective and objective criteria, including the average, standard deviation and spatial frequency. Average stands for average value of pixel’s gray level. Standard deviation manifests that discrete situation for gray level related to average value. Spatial frequency could measure the image details information. The calculated results shows that, compared to methods like wavelet transform, the proposed method can improve the objective criteria values significantly.

Mathematical analysis for image sampling process of CCD Paper

Meng Ding, Qi Fan, Yin Su, Ting Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623A (2017) https://doi.org/10.1117/12.2285121

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An algorithm of non-continuous gray-scale histogram enhancement based on the visual characteristics Paper

Yan Li, Zheng Li, Xinyi Tang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623B (2017) https://doi.org/10.1117/12.2285123

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Super-resolution imaging by dual patterned nonlinear illumination Paper

Jiang Zhang, Qingru Li, Han Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623C (2017) https://doi.org/10.1117/12.2285138

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Robust multiframe images super resolution Paper

Caihui Zong, Hui Zhao, Xiaopeng Xie, Chuang Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623D (2017) https://doi.org/10.1117/12.2285139

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Frequency dependence of negative differential capacitance in p-i-n InGaAs photodetector at room temperature Paper

Yidong Wang, Jun Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623E (2017) https://doi.org/10.1117/12.2285144

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Analysis of time delay in the temperature control model of super-luminescent diode for FOG Paper

Jianling Yin, Jun Lu, Jiaju Ying, Bing Zhou, Yudan Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623F (2017) https://doi.org/10.1117/12.2285152

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Modeling and optimization of InGaAs photodetectors Paper

Yi Jiang, Zhengyu Zhang, Jun Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623G (2017) https://doi.org/10.1117/12.2285162

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Phase extraction based on iteration algorithm with crossed fringes in phase measuring deflectometry Paper

Chengying Jin, Dahai Li, Kewei E., Mengyang Li, Pengyu Chen, Ruiyang Wang, Zhao Xiong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623H (2017) https://doi.org/10.1117/12.2285165

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A self-adaptive remote sensing image enhancement method based on gradient and intensity histogram Paper

Zhuanli Lu, Jiahang Liu, Tieqiao Chen, Chaomeng Kang, Kai Yu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623I (2017) https://doi.org/10.1117/12.2285168

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Assessing the impacts of grain sizes on landscape pattern of urban green space Paper

Yunxiao Sun, Qingyan Meng, Zhenhui Sun, Jiahui Zhang, Linlin Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623J (2017) https://doi.org/10.1117/12.2285177

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As an important part of the city, urban green space (UGS) plays an essential role in enhancing human well-being by virtue of multiple environmental, social and economic benefits. Study on landscape pattern of UGS is a focal point and hotspot in landscape ecology. The latest studies demonstrated that landscape metrics provides an effective method in quantifying UGS pattern. However, the study of the scale effect of landscape metrics should be strengthened. The objective of scale related research in UGS is to determine the appropriate scale in the measurement and evaluation of UGS and to find the underlying mechanisms by use of the selected scales.

This study aims to identify the scale characteristics and scale domain of UGS pattern, and provide basic information for pattern analysis and scaling in UGS research. In this paper, taking the central urban area of Székesfehérvár in Hungary as an example, we firstly extracted UGS from WordView-2 multi-spectral image (2m), then obtained a series of grain sizes by upscaling, and finally calculated and analyzed the characteristics of different landscape metrics with varying grain sizes. In this study, both the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Green Index (NDGI) were used to ensure the accuracy of the green space extraction in high spatial resolution image. On the basis of green space extraction, the green space patterns at different grain sizes were obtain by the assembly of grid cells. A total of 20 grain sizes were selected in this paper, ranging from 2 m to 40 m with a step size of 2 m. Landscape metrics both under class and landscape levels, including Patch Density (PD), Percentage of Landscape (PLAND), Mean Perimeter-Area Fractal Dimension (FRAC_MN), Division Index (DIVISION), Cohesion Index (COHESION), and Shannon’s Evenness Index (SHEI) were calculated.

The results demonstrated that with the increase of grain size, the landscape metrics under class level and landscape level were significantly affected by the grain size, and there was obvious critical grain size. On the whole, 16 m is the critical grain size of the green space pattern, and the suitable grain size for landscape metrics calculation of UGS ranges from 2 m to 16 m. The responding curves were varied by landscape metrics. Some metrics had clear changing trend and obvious turning grain size, while the others also had obvious turning grain size, but without clear changing trend. According to scale inflexions and responding curves discussed in the paper, scale domains of landscape metrics were confirmed. Generally, from 2 m to 16 m was the scale domain of UGS pattern, which means that related ecological model of UGS can be scaled across this scale extent by ordinary transformation. The study of impacts of changing scale on UGS can provide a reference for understanding the ecological benefits of UGS and optimizing the green space pattern.

Study on nonlinear process of remote sensing camera imaging at visible wavelengths Paper

Xing Zhang, Zhaohui Liu, Liang Zhou, Wenhao Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623K (2017) https://doi.org/10.1117/12.2285180

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High-precision attitude angle measuring system based on Talbot interferometry Paper

Juan Du, Jian Bai, Xiao Huang, Yujie Luo, Yupeng Luo

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623L (2017) https://doi.org/10.1117/12.2285187

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Design of an off-axis reflective zoom optical system Paper

Zhanli Guo, Hongtao Yang, Chao Mei, Aqi Yan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623M (2017) https://doi.org/10.1117/12.2285188

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Automated and standardized high-resolution appearance imaging system for electronic components Paper

Yunhe Liu, Ke Wang, Jiyuan Liang, Junzhang Chen, Xiangzhi Bai, Fugen Zhou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623N (2017) https://doi.org/10.1117/12.2285189

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Denoising differential column image motion lidar signal using singular value decomposition Paper

Zhi Cheng, Xu Jing, Feng He, GuoDong Sun

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623O (2017) https://doi.org/10.1117/12.2285201

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Design on high-current pulsed electron beam modification and analysis of machining characteristics for spinel Paper

Jinping Qiao, Guilin Wang, Shanyong Chen, Guipeng Tie

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623P (2017) https://doi.org/10.1117/12.2285253

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Design of low-light-level resolution testing and comparing system Paper

Zheng Cao, Qiudong Zhu, Shanshan Wang, Yujiao Guo

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623Q (2017) https://doi.org/10.1117/12.2285259

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SO₂ differential absorption lidar system based on dye laser Paper

Yafeng Chen, Qiuwu Liu, Shunxing Hu, Jian Huang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623R (2017) https://doi.org/10.1117/12.2285262

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Influence of haze on the performance of ground space optical communication Paper

Shuling Hu, Ziao Wan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623S (2017) https://doi.org/10.1117/12.2285266

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Research on the centroid detecting accuracy of stripe Paper

Yujiao Guo, Lin Li, Qiudong Zhu, Shanshan Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623T (2017) https://doi.org/10.1117/12.2285268

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Adaptive segmentation method based on similarity of laser point cloud topology Paper

Shuai Wang, Huayan Sun, Huichao Guo, Tianjian Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623U (2017) https://doi.org/10.1117/12.2285286

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Design and engineering development of single-mode fiber coupling system for Laser Doppler Velocity Radar Paper

Yaowu Kuang, Zhiping He, Weiming Xu, Rong Shu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623V (2017) https://doi.org/10.1117/12.2285287

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Infrared radiation measurement technique for low-temperature target in TV (thermal-vacuum) conditions Paper

Xue Lian, Hua Nan, Jiaqi Liu, Xin Liu, Gang Meng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623W (2017) https://doi.org/10.1117/12.2285288

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Imaging performance comparison of novel CMOS low-light-level image sensor and electron multiplying CCD sensor Paper

Song Yang, Xuxia Zhuang, Fang Xue, Qian Sun, Ningjuan Ruan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623X (2017) https://doi.org/10.1117/12.2285297

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Design of cryogenic area blackbody in vacuum chamber Paper

Lian Xue, Hua Nan, Jianhua Li, Xiaoli Fan, Xin Zou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623Y (2017) https://doi.org/10.1117/12.2285327

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Study on time-frequency characteristics of transient response of the dynamic gratings in erbium-doped fiber Paper

Peng Gan, Pan Xu, Junjie Wang, Zhengliang Hu, Yongming Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104623Z (2017) https://doi.org/10.1117/12.2285331

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Method and apparatus for measurement parameters of wheel set based on 1D laser sensor and magnetic grid sensor Paper

Peng Zhang, Qibo Feng, Jianying Cui

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046240 (2017) https://doi.org/10.1117/12.2285349

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The waveguide effect on the diffraction wave in pinhole point diffraction interferometer Paper

Chen Wang, Yongying Yang, Yao Li, Yuankai Chen

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046241 (2017) https://doi.org/10.1117/12.2285353

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Dual plane on-axis digital holography with dual wavelength phase unwrapping Paper

Spozmai Panezai, Jie Zhao, Yunxin Wang, Dayong Wang, Lu Rong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046242 (2017) https://doi.org/10.1117/12.2285356

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Study on the irradiation precision analysis and index decomposition technology of photoelectric system Paper

Shengwei Chi, Ming Ji, Lei Zhu, Hu Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046243 (2017) https://doi.org/10.1117/12.2285376

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Study on the distribution of biomolecules in different layers of porous silicon microcavity biosensor Paper

Xiaoyang Yu, Xiaoyi Lv, Jiaqing Mo, Zhenhong Jia, Xiangxiang Zheng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046244 (2017) https://doi.org/10.1117/12.2285386

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Color image super-resolution algorithm based on SVM classified learning Paper

Jianfei Li, Xiaoping Yang, Zhihong Chen, Haifeng Yang, Jun Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046245 (2017) https://doi.org/10.1117/12.2285456

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Uncertainty analysis of spectral radiance scale realization Paper

Cai-hong Dai, Zhi-feng Wu, Yan-fei Wang, Ling Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046246 (2017) https://doi.org/10.1117/12.2285457

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The application of bioinspired photosensitivity enhancer on space remote sensing Paper

Fang Xue, Mingxuan Wu, Chao Wang, Yun Su, Haibo Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046247 (2017) https://doi.org/10.1117/12.2285460

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Modeling and simulation of corner-cube reflector: effect on coaxiality detection accuracy Paper

Ge Song, Junfeng Han, Ping Ruan, Yue Wang, Furui Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046248 (2017) https://doi.org/10.1117/12.2285499

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Automatic detection of cloud in high-resolution remote sensing images based on adaptive SLIC and MFC Paper

Chaomeng Kang, Jiahang Liu, Kai Yu, Zhuanli Lu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046249 (2017) https://doi.org/10.1117/12.2285505

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Algorithm based on wavelet transform applied in the Space Infrared Image Paper

Qian Zhao, Zhenhong Niu, Xin Liu, Wenlin Cai, Zhifeng Li, Jianhua Li, Feng Xue

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624A (2017) https://doi.org/10.1117/12.2285506

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An adaptive multi-threshold image segmentation algorithm based on object-oriented classification for high-resolution remote sensing images Paper

Kai Yu, Jiahang Liu, Zhuanli Lu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624B (2017) https://doi.org/10.1117/12.2285511

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Temporal high-pass filter non-uniformity correction based on guided bilateral filter for IRFPA Paper

Ying Liang, Hanlin Qin, Jinsha Wu, Huixin Zhou, Qingjie Zeng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624C (2017) https://doi.org/10.1117/12.2285514

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Positive absorption constraint based ptychographical algorithm with fast convergence rate Paper

Changchao Zhai, Dayong Wang, Lu Rong, Zhihao Xu, Min Wan, Honghong Wang, Yunxin Wang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624D (2017) https://doi.org/10.1117/12.2285532

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A novel algorithm for maneuvering target detection under the high energy laser irradiating Paper

Demao Ye, Jing Wang, Peizheng Li, Shiheng Yan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624E (2017) https://doi.org/10.1117/12.2285535

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Modeling and simulation of celestial background for dual-star-sensor testing Paper

Ying Zhang, Dongfang Liu, Huijie Du, Yu Zhang, Yang Gao, Huiyang Qu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624F (2017) https://doi.org/10.1117/12.2285539

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An introduction of resistive arrays and packaging technology Paper

Quan Sun, Dafu Liu, Haimei Gong

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624G (2017) https://doi.org/10.1117/12.2285546

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Design and implementation of ultraviolet imager for corona discharge detection based on solar-blind AlGaN focal plane arrays Paper

Jiqiang Wang, Xiaojuan Li, Ling Wang, Jing Xie, Yan Zhang, Xiangyang Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624H (2017) https://doi.org/10.1117/12.2285547

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Research on laser spot location algorithm in weak turbulence Paper

Qi Zhao, Dai Zhang, Qingsong Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624I (2017) https://doi.org/10.1117/12.2285556

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Laser communication has become the main driving force for the development of modern wireless optical communication technology with the characteristics of large communication capacity, good concealment and good directivity. Acquisition, pointing and tracking system which is refer to as the APT system is the key technology to the laser communication, and the detection and processing technology is one of the key technologies of APT system. The effect of scintillation and laser spot drift caused by atmospheric turbulence seriously affects the laser spot positioning accuracy of laser communication APT system, which will affect the performance of laser communication system. It is very important to choose the appropriate spot pre-processing method and the best method to improve the positioning accuracy of laser communication system. An ideal spot image with known center coordinates was generated artificially and the MATLAB was used to simulate the atmospheric turbulence to make the laser spot close to the real atmosphere. Chosing median filtering and mean filtering method to the denoising pretreatment to get filtered image. Using iterative threshold method to obtain the binary image. Through 3 common spot positioning method like the gray centroid method, circle fitting method and the Gaussian fitting method to calculate the centroid of the binary image. After getting the central coordinates, the results were compared and analyzed. Experimental results showed that mean filtering is better than median filter to filter noise of the laser spot. Compared with other methods, the centroid accuracy obtained by the gray centroid method had larger deviation due to the process of filtering the noise was not completely suppressed. The laser spot center calculating by the Gaussian fitting method were with higher positioning accuracy. According to the calculation results, the applicable conditions of different spot location algorithms were given.

Improvement of responsivity of GaN-based p-i-n ultraviolet photodetector by inserting a delta doped layer in active region Paper

Jun Wang, Jin Guo, Guosheng Wang, Feng Xie, Li Jin

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624J (2017) https://doi.org/10.1117/12.2285560

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Multi-focus image fusion using spatial frequency and discrete wavelet transform Paper

Wei Tan, Hui-xin Zhou, Yue Yu, Juan Du, Hanlin Qin, Zhenhua Ma, Ruibo Zheng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624K (2017) https://doi.org/10.1117/12.2285561

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An algorithm for object recognition in hyperspectral remote sensing images and its application to lithologic feature extraction Paper

Yu Liu, Chao Tang, Guanghui Wang, Xinyuan Gao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624L (2017) https://doi.org/10.1117/12.2285564

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A method of plenoptic imaging with high resolution in turbulent atmosphere Paper

Yang Lv, Haotong Ma, Xuanzhe Zhang, Yu Ning, Xiaojun Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624M (2017) https://doi.org/10.1117/12.2285566

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Linear verification of model-based wavefront sensorless adaptive optics system Paper

Bin Wang, Liang Ma, Chenglong Gong, Huizhen Yang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624N (2017) https://doi.org/10.1117/12.2285567

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Self-adaptive histogram equalization image enhancement based on canny operator Paper

Ya-ni Du, Huixin Zhou, Zhen-hua Ma, Yue Yu, Han-lin Qin, Wei Tan

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624O (2017) https://doi.org/10.1117/12.2285571

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Comparative studies of wavelet threshold and complementary ensemble empirical mode decomposition in the denoising of differential column image motion lidar Paper

Zhi Cheng, Feng He, Xu Jing, Xiang Yan, Chao Mu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624P (2017) https://doi.org/10.1117/12.2285577

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An optimized acquisition approach exploiting geometrical calibration in x-ray cone-beam computed tomography Paper

Kai Xiao, Yu Han, Xiaoqi Xi, Haibing Bu, Lei Li, Bin Yan, Yanmin Sun, Jingyu Wang, Jianbang Liu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624Q (2017) https://doi.org/10.1117/12.2285578

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X-ray cone-beam computed tomography, featuring high precision and fast-imaging speed, has been widely used in industrial non-destructive testing applications for the three dimensional visualization of internal structures. Due to mechanical imperfections, geometric calibrations are imperative to high quality image reconstruction. Currently, the twoball phantom-based calibration procedures exploiting the projection trajectories of the phantoms are the most commonly used approach for the estimation of the geometrical parameters and the calibration of CT system. However, an additional scan needs to be performed, even after each object acquisition when lack of system reproducibility, leading to multiplied calibration times. The emphasis of this paper is to optimize the process of acquisition in cone-beam CT imaging with minimal time, based on the understanding of the determination of the ball position in typical phantom-based geometric calibration algorithms. An applicable condition of the calibration algorithm for simultaneously scanning objects and calibration phantoms is proposed and demonstrated, which is that the minimum projection value of the scanned object needs to be at least 100 counts higher than those of the calibration phantom, with consideration of the system noise. The CT experiments are based on a laboratory industrial cone-beam CT system with a micro-focus x-ray tube (Thales Hawkeye 130) and a flat panel detector (Thales Pixium RF4343). Objects imaged are chosen with a wide projection value range, from low-Z watermelon seeds and high-Z materials, including a standard Micro CT Bar Pattern Phantom (QRM) for image quality assessment. In these experiments, objects, as well as two-ball phantoms, both placed in the field of view without overlapping in the vertical direction, are projected over 360 degrees, instead of scanning the calibration phantoms separately. Hence, the true geometrical relationship is resolved utilizing the two-ball algorithm. Both simulation and experimental results confirm that the calculated geometrical parameters will not be affected by the objects as long as their projection value difference meeting the requirements above. And the reconstruction image quality is almost the same with those by an independent calibration. Compared to the traditional application of the phantombased geometrical calibration method, the novel approach presented in this paper has obvious advantages from an imaging perspective, saving acquisition time and eliminating the undesired influence from the operation staff for the same cost.

An efficient iterative super-resolution technology for coded aperture imaging Paper

Linpeng Lu, Jiasong Sun, Shengchen Kan, Chao Zuo

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624R (2017) https://doi.org/10.1117/12.2285584

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Optical system design of space fisheye lens and performance analysis Paper

Dan Geng, Hong-tao Yang, Chao Mei, Ya-hui Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624S (2017) https://doi.org/10.1117/12.2285587

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A novel remote sensing image fusion scheme based on NSCT and compressed sensing Paper

Peng Wan, Zongxi Song

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624T (2017) https://doi.org/10.1117/12.2285590

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Fast triangle star identification algorithm based on uncertain sign Paper

Xin Wei, Desheng Wen, Zongxi Song

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624U (2017) https://doi.org/10.1117/12.2285591

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Texture aware learning-based image fusion method for fixed focal-length cameras Paper

Haoyu Ma, Zhihai Xu, Huajun Feng, Qi Li, Yueting Chen, Jiazi Huang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624V (2017) https://doi.org/10.1117/12.2285610

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Infrared image watermarking based on the discrete shearlet transform Paper

Nana Wu, Huixin Zhou, Han-lin Qin, Bo Yao, Dong Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624W (2017) https://doi.org/10.1117/12.2285613

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Progress in ultrasonic bonding wire process and quality evaluation of bonding point Paper

Zhenli Zhao, Defeng Mo, Jiarong Wu, Mengdie Jiang, Jinglin Zhang, Lin Xu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624X (2017) https://doi.org/10.1117/12.2285650

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Mixed pulse-Gaussian denoising algorithm for improving image quality in assembly inspection of nuclear power plants Paper

Congzheng Wang, Song Hu, ChunMing Gao, Chang Feng

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624Y (2017) https://doi.org/10.1117/12.2285652

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Design of ultra-low-power readout circuit for UV GaN focal plane array Paper

Xiaojuan Li, Jiqiang Wang, Jing Xie, Ling Wang, Yan Zhang, Xiangyang Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624Z (2017) https://doi.org/10.1117/12.2285685

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Small target detection in infrared image using convolutional neural networks Paper

WanTing Wang, Hanlin Qin, Wenxiong Cheng, Chunmei Wang, Hanbing Leng, Huixin Zhou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046250 (2017) https://doi.org/10.1117/12.2285689

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High dynamic infrared image compressive enhancement based on fast local Laplacian filters Paper

Chunmei Wang, Hanlin Qin, Wanting Wang, Wenxiong Cheng, Huixin Zhou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046251 (2017) https://doi.org/10.1117/12.2285698

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Topological derivative improved partial differential equation for infrared spectral data denoising Paper

Shuowen Yang, Hanlin Qin, Qingjie Zeng, Jingguo Zong, Huixin Zhou, Zhe Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046252 (2017) https://doi.org/10.1117/12.2285703

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The preliminary discussion of bandwidth correction methods for spectral irradiance measurement of deuterium lamp Paper

Yan-fei Wang, Caihong Dai, Zhifeng Wu, Ling Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046253 (2017) https://doi.org/10.1117/12.2285711

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Optical design of wide-angle catadioptric lens for LWIR earth sensors Paper

RongSheng Qiu, Wei Dou, JinYan Kan, Kun Yu, Hao Wu, Jixing Yang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046254 (2017) https://doi.org/10.1117/12.2285721

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Kernel regression based infrared image non-uniformity correction Paper

Jinsha Wu, Hanlin Qin, Ying Liang, Huixin Zhou, Qingjie Zeng, Runda Qian

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046255 (2017) https://doi.org/10.1117/12.2285722

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A modified topological derivative based background suppression for infrared dim small target detection Paper

Wenxiong Cheng, Hanlin Qin, Wanting Wang, Chunmei Wang, Hanbing Leng, Huixin Zhou

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046256 (2017) https://doi.org/10.1117/12.2285726

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Infrared/radar data fusion and tracking algorithm based on the multi-scale model Paper

Yongli Sun, Bingjian Wang, Xiang Yi, Ge Hu

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046257 (2017) https://doi.org/10.1117/12.2285729

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Infrared image enhancement method for color transfer and contrast equalization in image registration Paper

Yu Wang, Xin Wang, Bin Li, Shihong Yang, Gang Liu, Qiuping Hu, Chuanling Liu, Ke Zhao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046258 (2017) https://doi.org/10.1117/12.2285748

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Motion estimation of sequence image based on feature extraction of extended objects Paper

Yazhi Liu, Xinyang Li

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046259 (2017) https://doi.org/10.1117/12.2285765

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Extraction of low contrast optical spot in cloudy weather and influence on atmospheric coherence length data Paper

Hao Wang, Zaihong Hou, Xu Jing, SiLong Zhang, QianJing Zhan, LaiAn Qin

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625A (2017) https://doi.org/10.1117/12.2285773

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The atmospheric coherence length which reflects the intensity of atmospheric turbulence is a very important parameter of laser atmospheric propagation and adaptive optics. It has been used as the modern definition of atmospheric seeing in astronomical observations. Day-night atmospheric coherence length monitor is a conventional instrument which can measure the atmospheric coherence length. It uses the two aperture differential imaging motion method (DIMM) to measure the atmospheric coherence length r₀ based on continuous observation of stars. When there are clouds in the sky especially for cloudy weather, the starlight are often obscured by clouds and the SNR of image is very low for only faint starlight received by Day-night atmospheric coherence length monitor. This would cause unacceptable measurement error. Therefore, there are fewer atmospheric coherent length data in the cloudy weather. The paper analyzes the measurement errors and tracking errors under the low SNR condition. Based on the experimental data, the characteristics of night cloudy sky background are analyzed. According to the fact that the sky background obeys Gauss distribution, we present an improved method of Gaussian spot extraction fitting method to extract the optical spot region. The processing method includes the following steps: first, the mean intensity of the image is calculated by Gauss fitting, then, divide the image into the background and the suspected target with the threshold of the half width of the Gauss distribution above the mean intensity. The largest area of the suspected target will be taken as the optical spot area. After that, a sliding window of 5 multiply 5 scale is used to scan the optical spot area to carry out gauss fitting for the center pixel x_ij at the angle of 0degree,45degree,90degree and 135degree. A comparison is taken between x_ij and the average values of the four fitting results, if the difference exceeds the threshold value, the pixel x_ij will be taken as the noise pixel, and the mean value of the fitting result is used to replace the pixel intensity. In order to verify the accuracy of the method, the turbulence phase screen has been used in numerical simulation. The result shows that this barycenter extraction method can accurately extract the centroid of optical spot under low contrast situation. Even when the SNR is 1.25db, the measurement error of r₀ is still less than 10%. We believe that this method may be useful in improving the adaptability of Day-night atmospheric coherence length monitor to more kinds of weather.

Hyperspectral anomaly detection based on machine learning and building selection graph Paper

Yehui Tang, Hanlin Qin, Ying Liang, Hanbing Leng, Zezhao Ju

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625B (2017) https://doi.org/10.1117/12.2285780

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A star pattern identification algorithm based on wheel code feature Paper

Yuancheng Shao, Wei Gao, Zongxi Song, Xin Wei

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625C (2017) https://doi.org/10.1117/12.2285784

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Improved automatic exposure algorithm for the stereoscopic panoramic camera in space application Paper

Jiali Wang, Yongqiang Duan, Peiyun Zheng, Wei Gao

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625D (2017) https://doi.org/10.1117/12.2285786

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Linear-mode linear arrays 16 pixel silicon avalanche photodiodes with high gain and low noise readout Paper

Jian Chen, Yunxiu Yang, Changdong Guo, Fanlin Kong, Xianguo Kou, Ou Wang, Libo Yu, Haizhi Song

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625E (2017) https://doi.org/10.1117/12.2285820

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Influence of image sequence distortion on infrared target detection Paper

Juan Du, Hui-xin Zhou, Sheng-hui Rong, Dong Zhao, Han-lin Qin

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625F (2017) https://doi.org/10.1117/12.2285823

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Image restoration from sequences under atmospheric turbulence effects Paper

Junshan Li, Jiao Zhang, Zhongshan Sui

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625G (2017) https://doi.org/10.1117/12.2285835

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Theoretical and experimental study on the block compressive imaging Paper

Qun Zhou, Linxia Zhang, Jun Ke

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625H (2017) https://doi.org/10.1117/12.2285839

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Comparison of non-scanning laser 3D imaging using Geiger-mode APD array and linear APD or APD array Paper

Chunbo Liu, Fang Bai, Jingxiong Zhang, Xiang'e Han

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625I (2017) https://doi.org/10.1117/12.2285840

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Study on calculating methods of forest fire area for dynamic disaster assessment based on infrared image Paper

Si Tian, Yong Wang, Tongchen Cai

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625J (2017) https://doi.org/10.1117/12.2285847

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Forest fire real-time monitoring and emergency treatment system design Paper

Yong Wang, Jijun Zou, Si Tian

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625K (2017) https://doi.org/10.1117/12.2285920

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The research for calibration technology of ultraviolet-vacuum ultraviolet imaging spectrometer Paper

Guang-wei Sun, Hong-sheng Sun, Jia-peng Wang, Yu-guo Zhang, Shi-wei Li, Lin-Jun Zhang

Proceedings Volume AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625L (2017) https://doi.org/10.1117/12.2285050

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