Time-Series InSAR with Deep-Learning-Based Topography-Dependent Atmospheric Delay Correction for Potential Landslide Detection

Time-Series InSAR with Deep-Learning-Based Topography-Dependent Atmospheric Delay Correction for Potential Landslide Detection

Synthetic aperture radar interferometry (InSAR) has emerged as an effective technique for monitoring potentially unstable landslides and has found widespread application. Nevertheless, in mountainous reservoir regions, the precision of time-series InSAR outcomes is often constrained by topography-de...

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Bibliographic Details
Main Authors: Hao Zhou, Keren Dai, Xiaochuan Tang, Jianming Xiang, Rongpeng Li, Mingtang Wu, Yangrui Peng, Zhenhong Li
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
topography-dependent atmospheric delay
Baihetan reservoir area
potential landslides
time-series InSAR
deep neural network
Online Access:https://www.mdpi.com/2072-4292/15/22/5287

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