Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning

Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning

Atmospheric effects are among the primary error sources affecting the accuracy of interferometric synthetic aperture radar (InSAR). The topography-dependent atmospheric effect is particularly noteworthy in reservoir areas for landslide monitoring utilizing InSAR, which must be effectively corrected...

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Bibliographic Details
Main Authors: Chen Chen, Keren Dai, Xiaochuan Tang, Jianhua Cheng, Saied Pirasteh, Mingtang Wu, Xianlin Shi, Hao Zhou, Zhenhong Li
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
InSAR
topography-dependent atmospheric correction
linear model
GACOS
MLP neural network
Online Access:https://www.mdpi.com/2072-4292/14/17/4171

Internet

https://www.mdpi.com/2072-4292/14/17/4171

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