Surface Deformation Monitoring and Prediction of InSAR-Hybrid Deep Learning Model for Subsidence Funnels

Mining subsidence is a pervasive geohazard in coal basins, and precise and reliable deformation monitoring is essential to effective risk mitigation. Conventional time-series Interferometric Synthetic Aperture Radar (InSAR) suffers from vegetation-induced decorrelation and atmospheric delays. Most p...

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Váldodahkkit:	Fuqiang Wang, Quanming Liu, Ruiping Li, Sinan Wang, Huiqiang Wang, Junzhi Wang, Xiaoming Ma, Liying Zhou, Yanxin Wang
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2025-08-01
Ráidu:	Remote Sensing
Fáttát:	DS-InSAR SBAS-InSAR CNN-LSTM prediction Sentinel-1A sedimentation mechanism analysis GACOS
Liŋkkat:	https://www.mdpi.com/2072-4292/17/17/2972
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