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...
Guardat en:
| Autors principals: | , , , , , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-08-01
|
| Col·lecció: | Remote Sensing |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2072-4292/17/17/2972 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|