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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Taylor & Francis Group
2025-12-01
|
| سلاسل: | Geocarto International |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2596248 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|