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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Jie Song, Shengjun Zhang, Xiangxue Kong, Chujiang Liao, Hang Li, Defu Che
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-12-01
Col·lecció:	Geocarto International
Matèries:	Water extraction flood mapping deep learning SAR multimodal feature fusion
Accés en línia:	https://www.tandfonline.com/doi/10.1080/10106049.2025.2596248
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!