Target 3-D reconstruction of streak tube imaging lidar based on Gaussian fitting

Qingyu Yuan; Lihong Niu; Cuichun Hu; Lei Wu; Hongru Yang; Bing Yu

doi:10.1117/12.2309637

20 February 2018 Target 3-D reconstruction of streak tube imaging lidar based on Gaussian fitting

Qingyu Yuan, Lihong Niu, Cuichun Hu, Lei Wu, Hongru Yang, Bing Yu

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106970R (2018) https://doi.org/10.1117/12.2309637
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

Streak images obtained by the streak tube imaging lidar (STIL) contain the distance-azimuth-intensity information of a scanned target, and a 3-D reconstruction of the target can be carried out through extracting the characteristic data of multiple streak images. Significant errors will be caused in the reconstruction result by the peak detection method due to noise and other factors. So as to get a more precise 3-D reconstruction, a peak detection method based on Gaussian fitting of trust region is proposed in this work. Gaussian modeling is performed on the returned wave of single time channel of each frame, then the modeling result which can effectively reduce the noise interference and possesses a unique peak could be taken as the new returned waveform, lastly extracting its feature data through peak detection. The experimental data of aerial target is for verifying this method. This work shows that the peak detection method based on Gaussian fitting reduces the extraction error of the feature data to less than 10%; utilizing this method to extract the feature data and reconstruct the target make it possible to realize the spatial resolution with a minimum 30 cm in the depth direction, and improve the 3-D imaging accuracy of the STIL concurrently.

Citation Download Citation

Qingyu Yuan, Lihong Niu, Cuichun Hu, Lei Wu, Hongru Yang, and Bing Yu "Target 3-D reconstruction of streak tube imaging lidar based on Gaussian fitting", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106970R (20 February 2018); https://doi.org/10.1117/12.2309637

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