Application of a deep learning framework integrating SAR imagery and terrain slope to flood mapping
Deep learning and remote sensing are critical to flood mapping, with synthetic aperture radar (SAR) offering a weather-independent data source. To improve segmentation accuracy, we designed a GSConv Block and introduced LSK Attention for low-level feature extraction, forming a lightweight network, G...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2025-12-01
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| Schriftenreihe: | Geocarto International |
| Schlagworte: | |
| Online-Zugang: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2596248 |
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