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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images

Extracting and analyzing water resources in Synthetic Aperture Radar (SAR) images is crucial for flood management and environmental resource planning due to the ability to monitor ground all-weather and all-time. However, extracting water entirely from high-resolution SAR images in diverse scenarios...

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Autors principals: Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2025-02-01
Col·lecció:International Journal of Applied Earth Observations and Geoinformation
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Accés en línia:http://www.sciencedirect.com/science/article/pii/S1569843225000329
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