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Single photon imaging Lidar using three Geiger-mode avalanche diodes
Author(s): Zhenyang Zhang; Caiwen Ma; Xiuqin Su; Songmao Chen; Shuchao Wang; Wenhua Zhu
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Paper Abstract

In this paper, based on the principle that signals only occurs on a few time-bins (timing accuracy of a modern TCSPC module) due to short period illumination and the noise which is almost a constant for all bins, we designed an algorithm for denoising by using signals from multiple detectors and further improving the performance by adopting signal processing technique (e.g. median filtering). To exploit the information from the histograms efficiently, it is necessary to choose the gating width in an appropriate range, so that a well-placed window is large enough to capture most of signals, but without accepting too many noise. Whether to accept the signal is determined by weighting signals from multi-detectors within each gate width, where only multiple detections are recorded during the period can be accepted, otherwise detection is considered as noise and removed in the final reconstruction. Thus the three-dimensional information (the twodimensional spatial information and the depth information) of the target can be obtained accurately. In the algorithm, the results are evaluated numerically by signal to reconstruction error (SRE). The advantage is learned by comparing with several classic methods, the data used in this paper are derived from a mathematical model which account for Poisson statistics and Lidar equation.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 1133835 (18 December 2019); doi: 10.1117/12.2547913
Show Author Affiliations
Zhenyang Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Caiwen Ma, Xi'an Institute of Optics and Precision Mechanics (China)
Xiuqin Su, Xi'an Institute of Optics and Precision Mechanics (China)
Songmao Chen, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Shuchao Wang, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Wenhua Zhu, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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