Global landslide mapping using U-Net architecture with diverse backbones across multi-regional and multi-sensor remote sensing datasets
Landslides remain a constant hazard to societies in hilly regions worldwide, necessitating accurate and scalable detection techniques. In this study, we assess the performance of cutting-edge deep learning architecture, specifically U-Net, combined with seven backbone networks, including EfficientNe...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2026-01-01
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| Collection: | Frontiers in Earth Science |
| Sujets: | |
| Accès en ligne: | https://www.frontiersin.org/articles/10.3389/feart.2025.1710586/full |
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