Dual-parameter estimation algorithm for Gm-APD Lidar depth imaging through smoke

•The strong backscattering of smoke limits the adaptability of Gm-APD Lidar for depth imaging.•The smoke model based on Gamma distribution explains the process of photon transmission.•Aiming at the characteristics of small number of Bins and large Bin width, this algorithm uses continuous wavelet tr...

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Bibliographic Details
Published in:	Measurement : journal of the International Measurement Confederation Vol. 196; p. 111269
Main Authors:	Zhang, Yinbo, Li, Sining, Sun, Jianfeng, Liu, Di, Zhang, Xin, Yang, Xianhui, Zhou, Xin
Format:	Journal Article
Language:	English
Published:	London Elsevier Ltd 15.06.2022 Elsevier Science Ltd
Subjects:	Algorithms Atoms & subatomic particles Backscattering Bins Continuous wavelet transform Depth imaging through smoke Dual-parameter estimation Estimating techniques Gamma distribution Gamma function Gm-APD Lidar Lidar Maximum likelihood method Parameter estimation Photons Smoke Depth imaging through smoke Gamma distribution Gm-APD Lidar Dual-parameter estimation
ISSN:	0263-2241, 1873-412X
Online Access:	Get full text
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