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    • Comparative analysis and scale effect of urban deformation monitoring using PSInSAR and SAR images with different resolutions

    • Time series InSAR technology can monitor the deformation of urban buildings on a large scale with high accuracy. There have been many related studies and engineering applications. Based on low, medium, and high resolution SAR images of the same area and monitoring period, researchers used PSInSAR technology to verify that a decrease in SAR image resolution will lead to a weakening of the overall ability of fine monitoring of urban deformation, laying the foundation for the construction of urban building deformation monitoring system.
      • role:First author第一作者
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      • Email:feng.zhao@cumt.edu.cn
      • Introduction:赵峰,研究方向为InSAR原理与应用、城市建构筑物形变遥感监测。E-mail: feng.zhao@cumt.edu.cn

      ZHAO Feng

      ,
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      ZHENG Qiyang

      ,
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      HUANG Kesheng

      ,
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      MENG Yajie

      ,
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      BU Shiying

      ,
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      ZHANG Leixin

      ,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China University of Mining and Technology, Xuzhou 221116, China

      • Email:wyj4139@cumt.edu.cn
      • Introduction:汪云甲,研究方向为国土环境及灾害监测。E-mail: wyj4139@cumt.edu.cn

      WANG Yunjia

      *
    • Vol. 30, Issue 4, Pages: 971-983(2026)  
    • DOI:10.11834/jrs.20265386    

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