Application of Denoising CNN for Noise Suppression and Weak Signal Extraction of Lunar Penetrating Radar Data

Application of Denoising CNN for Noise Suppression and Weak Signal Extraction of Lunar Penetrating Radar Data

As one of the main payloads mounted on the Yutu-2 rover of Chang’E-4 probe, lunar penetrating radar (LPR) aims to map the subsurface structure in the Von Kármán crater. The field LPR data are generally masked by clutters and noises of large quantities. To solve the noise interference, dozens of filt...

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Bibliographic Details
Main Authors: Haoqiu Zhou, Xuan Feng, Zejun Dong, Cai Liu, Wenjing Liang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
Chang’E-4
lunar penetrating radar (LPR)
convolutional neural network (CNN)
noise suppression
weak signal extraction
Online Access:https://www.mdpi.com/2072-4292/13/4/779

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