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The effect of fog on the probability density distribution of the ranging data of imaging laser radar
Author(s) -
Wenhua Song,
Jiancheng Lai,
Zabih Ghassemlooy,
Zhiyong Gu,
Wei Yan,
Chunyong Wang,
Zhenhua Li
Publication year - 2018
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5011781
Subject(s) - ranging , lidar , wavelength , radar , laser , optics , remote sensing , probability distribution , margin (machine learning) , laser ranging , materials science , physics , geology , computer science , geodesy , mathematics , statistics , telecommunications , machine learning
This paper outlines theoretically investigations of the probability density distribution (PDD) of ranging data for the imaging laser radar (ILR) system operating at a wavelength of 905 nm under the fog condition. Based on the physical model of the reflected laser pulses from a standard Lambertian target, a theoretical approximate model of PDD of the ranging data is developed under different fog concentrations, which offer improved precision target ranging and imaging. An experimental test bed for the ILR system is developed and its performance is evaluated using a dedicated indoor atmospheric chamber under homogeneously controlled fog conditions. We show that the measured results are in good agreement with both the accurate and approximate models within a given margin of error of less than 1%.

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