High-precision flood change detection with lightweight SAR transformer network and context-aware attention for enriched-diverse and complex flooding scenarios
发布时间：2026-01-01
点击次数：
- DOI码：
- 10.1016/j.isprsjprs.2025.11.011
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying, Mapping & Remote Sensing LIESMARS, Wuhan 430072,
- 发表刊物：
- ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 项目来源：
- This study was jointly supported by: (1) National Key Research and Development Program of China (No.
- 关键字：
- High-precision flood change detection,Context-aware attention,Adaptive window selection,Diverse flood scenarios,VarFloods dataset,Synthetic aperture radar (SAR)
- 摘要：
- Floods are highly destructive natural disasters that threaten both society and the environment. Given the allweather, all-time imaging capability of synthetic aperture radar (SAR), analyzing flood events using SAR imagery across diverse scenarios is essential for developing high-precision and robust detection models. However, existing transformer-based change detection methods achieve high precision, but their high computational cost and large parameter sizes necessitate lightweight design while maintaining detection accuracy. Moreover, existing studies focus on a few specific scenarios withou
- 合写作者：
- Zhang, Jindou,Zhu, Duowang,Wang, Jinyang,Balz, Timo,Li, Deren
- 第一作者：
- Du, Menghao
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng,Xiao, Xiongwu
- 文献类型：
- Article
- 卷号：
- 231
- 页面范围：
- 507-531
- ISSN号：
- 0924-2716
- 是否译文：
- 否
- 发表时间：
- 2026-01-01