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  • (Professor)
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    Male
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    15827188114
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    Employed
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    测绘遥感信息工程全国重点实验室
  • Date of Birth:

    1976-03-21
  • Alma Mater:

    武汉大学
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    Employed
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    测绘遥感信息工程全国重点实验室
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    2004-07-01
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    副主任
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    武汉大学星湖实验大楼713
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    15827188114

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Paper Publications

Current position: Home > Scientific Research > Paper Publications

High-precision flood change detection with lightweight SAR transformer network and context-aware attention for enriched-diverse and complex flooding scenarios

  • Time:2026-01-01
  • Hits:
  • DOI number:

    10.1016/j.isprsjprs.2025.11.011
  • Affiliation of Author(s):

    Wuhan Univ, State Key Lab Informat Engn Surveying, Mapping & Remote Sensing LIESMARS, Wuhan 430072,
  • Journal:

    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
  • Funded by:

    This study was jointly supported by: (1) National Key Research and Development Program of China (No.
  • Key Words:

    High-precision flood change detection,Context-aware attention,Adaptive window selection,Diverse flood scenarios,VarFloods dataset,Synthetic aperture radar (SAR)
  • 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
  • Co-author:

    Balz, Jinyang,Wang, Duowang,Zhu, Jindou,Zhang, Deren,Li, Timo
  • Indexed by:

    Journal paper
  • Correspondence Author:

    Xiongwu,Xiao, Zhenfeng,Shao
  • Document Type:

    Article
  • Volume:

    231
  • Page Number:

    507-531
  • ISSN No.:

    0924-2716
  • Translation or Not:

    no
  • Date of Publication:

    2026-01-01
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