Potential Landslide Identification Based on Improved YOLOv8 and InSAR Phase-Gradient Stacking
Landslides, as a major geological hazard, caused the significant threats to human life and property. Therefore, the identification of potential landslides is a crucial concern. This study combines synthetic aperture radar interferometry phase-gradient stacking with deep learning to achieve efficient...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2024-01-01
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| Collection: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/10529526/ |
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