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Proceedings Paper

Target 3-D reconstruction of streak tube imaging lidar based on Gaussian fitting
Author(s): Qingyu Yuan; Lihong Niu; Cuichun Hu; Lei Wu; Hongru Yang; Bing Yu
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Paper 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.

Paper Details

Date Published: 20 February 2018
PDF: 8 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106970R (20 February 2018); doi: 10.1117/12.2309637
Show Author Affiliations
Qingyu Yuan, Shenzhen Univ. (China)
Lihong Niu, Shenzhen Univ. (China)
Cuichun Hu, Shenzhen Univ. (China)
Lei Wu, Xi’an Institute of Applied Optics (China)
Hongru Yang, Xi'an Institute of Applied Optics (China)
Bing Yu, Xi'an Institute of Applied Optics (China)

Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

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