Shadows in polarized images often interfere with the acquisition and analysis of the polarization state of light. By removing the shadows, these interferences can be eliminated, and the polarization information can be extracted more accurately for subsequent processing. To solve the problem of insufficient illumination and information recovery in the shadow region of polarization images, we propose an attention condition generative adversarial network (GAN) for shadow removal in polarized imaging. The method uses conditional GAN s as its basic framework and introduces attention modules into the generator, which enhances the network’s ability to localize and recognize shadows. At the same time, the polarization shadow removal images from different directions are fused to maximize the generation of polarization shadow-free images. The acquisition of shadow images in four different scenarios uses a polarization camera. The proposed method is compared with the recent method. Experimental results show that the polarization image after shadow removal using our method is closer to the real ground image, and the evaluation index is better than other methods.
Since the low resolution of infrared focal plane arrays may degrade the performance of polarization imaging significantly, it is necessary to study the super-resolution reconstruction method for superior image resolution and contrast. Four typical single-frame image reconstruction methods are studied in this paper, and the comparison of reconstruction result of these methods is conducted by using subjective and objective evaluation. The experiments show that the reconstruction method based on generative adversarial network performs poorly in the evaluation indexes such as peak signal-to-noise ratio and structural similarity, but its reconstructed image has good visual effects, rich texture and details, and has a strong ability to suppress background noise, and using the reconstructed images for polarization information parsing can significantly improve the accuracy of polarization information parsing and the effect of polarization image fusion.
Most previous target detection methods are based on the physical properties of visible-light polarization images, depending on different targets and backgrounds. However, this process is not only complicated but also vulnerable to environmental noises. A multimodal fusion detection network based on the multimodal deep neural network architecture is proposed in this research. The multimodal fusion detection network integrates the high-level semantic information of visible-light polarization image in crater detection. The network contains the base network, the fusion network, and the detection network. Each of the base networks outputs a corresponding feature figure of polarization image, fused by the fusion network later to output a final fused feature figure, which is input into the detection network to detect the target in the image. To learn target characteristics effectively and improve the accuracy of target detection, we select the base network by comparing between VGG and ResNet networks and adopt the strategy of model parameter pretraining. The experimental results demonstrate that the simulated crater detection performance of the proposed method is superior to the traditional and single-modal-based methods in that the extracted polarization characteristics are beneficial to target detection.
In order to study the spectral characteristics and polarization characteristics of the target and background, a high-spectral full-polarization imaging system design scheme was proposed and the system was built in the laboratory. The system is based on quarter-wave plate and liquid crystal tunable filter (LCTF) for spectral and full-polarization imaging. Polarization detection and spectral detection can be achieved by adjusting the angle of the quarter-wave plate and the exit wavelength of the LCTF. Specific detection methods. The hyperspectral full polarization detection of the system was verified in the range of 450nm to 710nm, and the data was analyzed and analyzed. The relationship between polarization characteristics and wavelength of different targets was analyzed, and the feasibility of the system design scheme was verified.
Latent fingerprint is an important material evidence in criminal cases, and the appearance of latent fingerprint is one of the key problems of physical evidence testing technology. Polarization imaging detection technology can realize non-destructive detection of latent fingerprint. This paper introduces the basic principle of UV polarization imaging detection, designs the UV polarization imaging detection system, and carries out UV polarization imaging experiments on four types of latent fingerprints such as perspiration fingerprint, oil stain fingerprint, blood stain fingerprint and gray stain fingerprint, and obtains effective experiment. The UV polarization characteristics of latent fingerprints are analyzed and the polarization information adaptive selection fusion algorithm is proposed by using the difference and complementarity of different polarization parameters. The results show that the non-destructive detection of latent fingerprints is effectively realized by UV polarization imaging detection technology. Compared with general intensity images, the contrast of polarized images is obviously improved, and the details are richer. It has practical value and research on nondestructive detection of latent fingerprints. significance.
The quantification of remote sensing information requires spectral radiometric calibration technology support with high accuracy, and this technology can ensure the comparability, accuracy, and long-term stability of data acquisition for sensor. Now, the calibration technique traced to the absolute cryogenic radiometer (ACR) is the trend of development. To improve the accuracy of infrared absolute spectral responsivity, a gold-plated hemisphere reflector is added to a thermopile detector with electrical substitution pins. So an infrared electrical substitution radiometer (ESR) is developed as the standard transfer detector. The spectral response linearity, uniformity, and stability of ESR are tested by electric substitution technology. We also have established a radiometric calibration system based on ACR. The combined uncertainty in the spectral responsivity of this detector from 0.7 to 20 μm is about 0.99%. The application of infrared ESR to radiometric calibration can improve the calibration accuracy of detectors through its shorter calibration chain.
The difficult point that impacting the traditional polarization image registration based on Fourier - Mellin
transform is calculating rotation angle of the image α and shrinkage variable coefficient τ of polarization
image registration .Based on Fourier - Mellin transform method, this paper proposes a improved algorithm that
on account of improving resolution in the θ coordinate direction in the Log-polar coordinate system, improve the
calculation accuracy of rotation angle of the image α and shrinkage variable coefficient τ .Through the
experiment and simulation results show that the improved algorithm than the traditional has higher registration
precision.
Artificial target has the characteristics of stronger polarization, which is found in the process of
researching polarization remote sensing. So the polarization characteristics of artificial target has become one of the
highlights in the research of the polarization remote sensing. Metal coating target is a kind of typical artificial target,
previous studies have found that metal coating target polarization reflection characteristics vary with the condition
of different observation angle and incidence angle, and the difference of polarization characteristics greatly impact
the derivation and accuracy of metal material surface. In order to research the characteristics of metal coating
surface bidirectional reflectance polarization, this measurement experiment set up four observation azimuth angle
and nine observation zenith angle .On the basis of the measured data by using the semi-empirical model for data
fitting, then get the data of metal coating target hemisphere space distribution of polarization reflection
characteristics . This paper analyzes the relationship between target surface polarization degree and observation
azimuth angle, observation zenith angle, which provides theory and data support for the derivation of typical
artificial target structure features.
According to problems of the intensity imaging target detection on water surface in foggy weather such as the indistinction of the target and greatly loss of the target detail, a target detection method based on the target polarization characteristics for water surface target in foggy weather is proposed in this paper. To validate the method’s effectiveness, the indoor experiment is performed by using the simulation environment in foggy weather and the outdoor experiment is performed by using the water surface real fog environment. A lot of different intensity images and polarization images are got and then analysed and compared. The experimental results demonstrate that the polarization imaging detection can effectively obtain the polarization information of targets on water surface, and we can detect the water surface targets in foggy weather by polarization information retrieving and the target information restoring.
In this paper we analyse the polarization imaging theory and the commonly process of the polarization imaging detection. Based on this, we summarize our many years’ research work especially in the mechanism, technology and system of the polarization imaging detection technology. Combined with the up-to-date development at home and abroad, this paper discusses many theory and technological problems of polarization imaging detection in detail from the view of the object polarization characteristics, key problem and key technology of polarization imaging detection, polarization imaging detection system and application, etc. The theory and technological problems include object all direction polarization characteristic retrieving, the optical electronic machinery integration designing of the polarization imaging detection system, the high precision polarization information analysis and the polarization image fast processing. Moreover, we point out the possible application direction of the polarization imaging detection technology both in martial and civilian fields. We also summarize the possible future development trend of the polarization imaging detection technology in the field of high spectrum polarization imaging. This paper can provide evident reference and guidance to promote the research and development of the polarization imaging detection technology.
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