MAH-YOLO: an enhanced YOLOv8n framework for loess landslide detection with multi-attention mechanisms
The Loess Plateau, with its fragile ecological environment and frequent landslides, poses severe risks to both ecological safety and human life. Accurate and efficient landslide detection is essential for disaster prevention and sustainable regional development. This study proposes an enhanced targe...
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| Главные авторы: | , , , , , , , , |
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| Формат: | Статья |
| Язык: | английский |
| Опубликовано: |
Taylor & Francis Group
2025-12-01
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| Серии: | International Journal of Digital Earth |
| Предметы: | |
| Online-ссылка: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2536666 |
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