Open AccessPile-up effect in an infrared single-pixel compressive LiDAR system
Author(s) -
Liu Shuai,
XuRi Yao,
Xuefeng Liu,
Dazhi Xu,
Xing-Da Wang,
Bing Liu,
Chao Wang,
Guangtao 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.