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    • SWSACNet: A change detection network for collapsed buildings extraction using multi-source images

    • In the field of remote sensing imaging, experts have proposed the SWSACNet model, which effectively identifies changes in collapsed buildings and provides a new solution for disaster monitoring.
    • Vol. 29, Issue 5, Pages: 1194-1208(2025)   

      Received:05 March 2024

      Published:07 May 2025

    • DOI: 10.11834/jrs.20244057     

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  • Long Y,Dou A X,Wang F F and Wang S M. 2025. SWSACNet: A change detection network for collapsed buildings extraction using multi-source images. National Remote Sensing Bulletin, 29(5):1194-1208 DOI: 10.11834/jrs.20244057.
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Long Ying 中国地震局地震预测研究所
Dou Aixia 中国地震局地震预测研究所
SHAO Pan 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
GAO Zi’ang 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
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SUN Bangyong 西安理工大学 印刷包装与数字媒体学院;中国科学院西安光学精密机械研究所 瞬态光学与光子技术国家重点实验室
YANG Bin 湖南大学 电气与信息工程学院
MAO Yin 湖南大学 电气与信息工程学院

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