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

19 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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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 - 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

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

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