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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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 196; s. 111269
Hlavní autori:	Zhang, Yinbo, Li, Sining, Sun, Jianfeng, Liu, Di, Zhang, Xin, Yang, Xianhui, Zhou, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Elsevier Ltd 15.06.2022 Elsevier Science Ltd
Predmet:	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
On-line prístup:	Získať plný text
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