High-precision flood change detection with lightweight SAR transformer network and context-aware attention for enriched-diverse and complex flooding scenarios
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DOI number:
10.1016/j.isprsjprs.2025.11.011
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Affiliation of Author(s):
Wuhan Univ, State Key Lab Informat Engn Surveying, Mapping & Remote Sensing LIESMARS, Wuhan 430072,
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Journal:
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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Funded by:
This study was jointly supported by: (1) National Key Research and Development Program of China (No.
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Key Words:
High-precision flood change detection,Context-aware attention,Adaptive window selection,Diverse flood scenarios,VarFloods dataset,Synthetic aperture radar (SAR)
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Abstract:
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
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Co-author:
Balz, Jinyang,Wang, Duowang,Zhu, Jindou,Zhang, Deren,Li, Timo
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Indexed by:
Journal paper
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Correspondence Author:
Xiongwu,Xiao, Zhenfeng,Shao
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Document Type:
Article
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Volume:
231
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Page Number:
507-531
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ISSN No.:
0924-2716
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Translation or Not:
no
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Date of Publication:
2026-01-01
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