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    • Semantic consistency assisted change detection in remote sensing images

    • In the field of semantic change detection in remote sensing images, experts have proposed an algorithm based on twin CNN and Transformer, which effectively focuses on change areas and maintains consistency between change results and semantic results.
    • Vol. 29, Issue 4, Pages: 1031-1045(2025)   

      Received:16 October 2023

      Published:07 April 2025

    • DOI: 10.11834/jrs.20243419     

    移动端阅览

  • Wu H C,Wang R F,Qiu H,Wang F,Gao G and Wu D. 2025. Semantic consistency assisted change detection in remote sensing images. National Remote Sensing Bulletin, 29(4):1031-1045 DOI: 10.11834/jrs.20243419.
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相关作者

Wu Hucheng 中国海洋大学 计算机科学与技术学院
WANG Renfang 中国海洋大学 计算机科学与技术学院;浙江万里学院 大数据与软件工程学院
LI Jiankang 南京信息工程大学 遥感与测绘工程学院
ZHANG Guixin 南京信息工程大学 地理科学学院
ZHU Shanyou 南京信息工程大学 遥感与测绘工程学院
XU Yongming 南京信息工程大学 遥感与测绘工程学院
LI Xiangyu 南京信息工程大学 遥感与测绘工程学院
LIU Qinsen 西安理工大学 印刷包装与数字媒体学院

相关机构

School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology
School of Geographical Sciences, Nanjing University of Information Science & Technology
Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology
State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences
State Key Laboratory of Remote Sensing Science, Faculty of Geography Science, Beijing Normal University
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