Deformation Prediction of Cihaxia Landslide Using InSAR and Deep Learning
Slope deformation monitoring and analysis are significant in the geological survey of hydraulic engineering. However, predicting future slope deformation is a vital and challenging task for engineers. The accurate estimation of slope displacement is required for the risk assessment of slope stabilit...
Main Authors: | Yuxiao Wang, Shouyi Li, Bin Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/14/24/3990 |
Similar Items
-
A Deep Learning Application for Deformation Prediction from Ground-Based InSAR
by: Jianfeng Han, et al.
Published: (2022-10-01) -
Application of InSAR Techniques to an Analysis of the Guanling Landslide
by: Ya Kang, et al.
Published: (2017-10-01) -
Sensitivity Evaluation of Time Series InSAR Monitoring Results for Landslide Detection
by: Liming He, et al.
Published: (2023-08-01) -
Mechanism of deformation around northern Hejin, China, observed by InSAR
by: Ji Lingyun, et al.
Published: (2013-01-01) -
Optimization of Reservoir Level Scheduling Based on InSAR-LSTM Deformation Prediction Model for Rockfill Dams
by: Zhigang Fang, et al.
Published: (2023-09-01)