Lidar signal processing method for atmospheric coherence length measurement based on the WD-ADMF

被引:1
|
作者
Zhou, Hui [1 ,2 ,3 ,4 ,5 ]
Xie, Chenbo [1 ,3 ]
Hu, Yalin [1 ,2 ,3 ]
Shen, Fahua [4 ,5 ]
Xing, Kunming [1 ,3 ]
Wang, Bangxin [1 ,3 ]
Wang, Yingjian [1 ,3 ]
机构
[1] Chinese Acad Sci, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Anhui Inst Opt & Fine Mech, Hefei 230031, Anhui, Peoples R China
[2] Univ Sci & Technol China, Hefei 230026, Peoples R China
[3] Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China
[4] Yancheng Teachers Univ, Dept Phys & Elect Engn, Yancheng 224002, Peoples R China
[5] Jiangsu Prov Key Lab Coastal Wetland Bioresources, Yancheng 224007, Jiangsu, Peoples R China
关键词
D O I
10.1364/AO.518219
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A denoising method applied to atmospheric coherent length lidar is proposed. Wavelet decomposition (WD) and the adaptive median filter (ADMF) are combined in this method. In this research, the effectiveness of the WDADMF has been verified through simulation and measurement. The results show that this filter algorithm, when applied to lidar data, improves the average peak signal-to-noise ratio (PSNR) and centroid error while maintaining data integrity such that the measurement of coherence length or the inference of C n 2 from coherence length more closely matches simulated truth and measured data. (c) 2024 Optica Publishing Group
引用
收藏
页码:3343 / 3348
页数:6
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