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Novel Lidar algorithm for horizontal visibility measurement and sea fog monitoring
Author(s) -
Jinhong Xian,
Yanling Han,
Siyuan Huang,
Dongsong Sun,
Jun Zheng,
Anran Zhou,
Shaochen Yang,
Weibing Xu,
Qingchun Song,
Lifeng Wei,
Qingzhi Tan,
Xuzi Li
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.034853
Subject(s) - lidar , visibility , remote sensing , inversion (geology) , molar absorptivity , environmental science , extinction (optical mineralogy) , atmospheric optics , atmosphere (unit) , meteorology , optics , computer science , algorithm , geology , physics , paleontology , structural basin
Traditionally, Klett and Fernald inversion estimates an initial value using the slope method for horizontal visibility, which causes inversion uncertainty. We proposed an algorithm to retrieve the extinction coefficient and visibility distribution information from scanning Lidar to overcome instability due to initial atmospheric extinction coefficient choice and assuming the Lidar ratio. Numerical simulations showed that extinction coefficient maximum relative was much larger for inhomogeneous atmosphere using the Klett method, reaching 0.31. In contrast, it is only 0.049 using the proposed algorithm. Experimental showed that the proposed algorithm and scanning Lidar system provide very high stability and accuracy, can work in different weather conditions and monitor sea fog evolution over real time, and is suitable for various situations with different visibility.

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