Enhanced U-Net++ for Improved Semantic Segmentation in Landslide Detection
Landslide detection and segmentation are critical for disaster risk assessment and management. However, achieving accurate segmentation remains challenging due to the complex nature of landslide terrains and the limited availability of high-quality labeled datasets. This paper proposes an enhanced U...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2025-04-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/25/9/2670 |
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