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Proceedings Paper

Computational three-dimensional imaging method of compressive LIDAR system with gain modulation
Author(s): Yan-mei Zhang; Yu-long An
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Paper Abstract

The distance resolution of a 3D LIDAR imaging is largely decided by the pulse duration of the laser source and rise time of the detector. Considering that breaking these limits generates low-cost systems, we present a computational method of 3D imaging by a compressive LIDAR system. Based on the theory of compressive sensing, reflective pulses are obtained by single-pixel detector and intensity maps are reconstructed by TVAL3 algorithm. Moreover, the distance information of each pixel can be calculated from the reconstructed intensity maps with gain modulation technology. The simulations are accomplished to validate the effectiveness of our method. Convincing computational results shows that our method is capable to achieve 3D imaging with less budget.

Paper Details

Date Published: 15 November 2017
PDF: 5 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060508 (15 November 2017); doi: 10.1117/12.2292295
Show Author Affiliations
Yan-mei Zhang, Beijing Institute of Technology (China)
Yu-long An, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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