Pile-up effect in an infrared single-pixel compressive LiDAR system | Zendy

Shuai Liu | Zendy; XuRi Yao | Zendy; Xue-Feng Liu | Zendy; Dazhi Xu | Zendy; Xing-Da Wang | Zendy; Bing Liu | Zendy; Chao Wang | Zendy; Guang-Jie Zhai | Zendy; Qing Zhao | Zendy

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Pile-up effect in an infrared single-pixel compressive LiDAR system

Author(s) -

Shuai Liu,

XuRi Yao,

Xue-Feng Liu,

Dazhi Xu,

Xing-Da Wang,

Bing Liu,

Chao Wang,

Guang-Jie Zhai,

Qing Zhao

Publication year - 2019

Publication title -

optics express

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.27.022138

Subject(s) - lidar , pixel , photon counting , optics , grayscale , detector , compressed sensing , remote sensing , infrared , laser , materials science , physics , computer science , artificial intelligence , geology

Compressive sensing (CS) has been used in LiDAR systems utilizing one single-photon-counting avalanche diode. We demonstrate an unexpected grayscale inversed image of an object at an unchosen depth, which appears in the reconstruction of the infrared single-pixel LiDAR system due to the pile-up effect. A correction algorithm and the sparse measurement are proposed and experimentally verified to effectively reduce the photon pile-up influence, so that the negative images can be completely removed. The correction methods in this research can improve the accuracy and the flexibility of the single-pixel LiDAR systems employing detectors with a low maximum light count.

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