Penta Classification of Landslide Via Deep Learning Based SegNet and RegNet
Abstract Landslides are one of the most frequent and destructive natural disasters, posing severe threats to human lives, infrastructure, and the environment. Accurate prediction and classification of landslide occurrences using remote sensing and aerial imagery have become vital for disaster manage...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2026-01-01
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| Schriftenreihe: | International Journal of Computational Intelligence Systems |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s44196-025-01114-w |
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