A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model
Landslides are one of the most destructive natural disasters in the world, threatening human life and safety. With excellent performance as a foundation model for image segmentation, the segment anything model (SAM) has provided a novel paradigm for semantic segmentation research. However, the lack...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2025-01-01
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| Серии: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/10962290/ |
| Метки: |
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