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

Shuai Liu; Xu Ri Yao; Xue Feng Liu; Da Zhi Xu; Xing Da Wang; Bing Liu; Chao Wang; Guang Jie Zhai; Qing Zhao

doi:10.1364/OE.27.022138

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

Shuai Liu
, Xu Ri Yao
, Xue Feng Liu
, Da Zhi Xu
, Xing Da Wang
, Bing Liu
, Chao Wang
, Guang Jie Zhai
, Qing Zhao

School of Physics

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	22138-22146
Number of pages	9
Journal	Optics Express
Volume	27
Issue number	16
DOIs	https://doi.org/10.1364/OE.27.022138
Publication status	Published - 5 Aug 2019

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10.1364/OE.27.022138

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title = "Pile-up effect in an infrared single-pixel compressive LiDAR system",

abstract = "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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AU - Liu, Shuai

AU - Yao, Xu Ri

AU - Liu, Xue Feng

AU - Xu, Da Zhi

AU - Wang, Xing Da

AU - Liu, Bing

AU - Wang, Chao

AU - Zhai, Guang Jie

AU - Zhao, Qing

PY - 2019/8/5

Y1 - 2019/8/5

N2 - 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.

AB - 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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VL - 27

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EP - 22146

JO - Optics Express

JF - Optics Express

IS - 16

ER -

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

Abstract

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