Rayleigh Lidar Signal Denoising Method Combined with WT, EEMD and LOWESS to Improve Retrieval Accuracy

Rayleigh Lidar Signal Denoising Method Combined with WT, EEMD and LOWESS to Improve Retrieval Accuracy

Lidar is an active remote sensing technology that has many advantages, but the echo lidar signal is extremely susceptible to noise and complex atmospheric environment, which affects the effective detection range and retrieval accuracy. In this paper, a wavelet transform (WT) and locally weighted sca...

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Bibliographic Details
Main Authors: Yijian Zhang, Tong Wu, Xianzhong Zhang, Yue Sun, Yu Wang, Shijie Li, Xinqi Li, Kai Zhong, Zhaoai Yan, Degang Xu, Jianquan Yao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
rayleigh lidar signal denoising
ensemble empirical mode decomposition
wavelet transform
locally weighted scatterplot smoothing
detrended fluctuation analysis
density retrieval
Online Access:https://www.mdpi.com/2072-4292/14/14/3270

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https://www.mdpi.com/2072-4292/14/14/3270

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