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    • Urban building change detection on the basis of multitemporal LT-1: A case study of Hengqin Town, Zhuhai City

    • The reporter learned from the research on building change detection in southern China that the data from China's independently developed Land Detection No.1 01 A/B satellite (LT-1A/1B) has potential applications in the field of change detection. A urban building change detection algorithm based on LT-1 data is proposed, which integrates amplitude features and coherence information of multi temporal synthetic aperture radar (SAR). Through building recognition, color gamut segmentation, and coherence change constraints, the change area of urban buildings is obtained and the change period of buildings is located. The experimental results have verified the reliability of the algorithm and provided solutions for fields such as urban planning and illegal construction investigation.
      • role:First author第一作者
      • Affiliation:

        Radar Remote Sensing Laboratory, School of Geosciences and Info-physics, Central South University, Changsha 410083, China

      • Email:csuxhgd@csu.edu.cn
      • Introduction:王秀华,研究方向为多时相SAR建筑物变化检测。E-mail: csuxhgd@csu.edu.cn

      WANG Xiuhua

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        Radar Remote Sensing Laboratory, School of Geosciences and Info-physics, Central South University, Changsha 410083, China

      • Email:fredgps@csu.edu.cn
      • Introduction:冯光财,研究方向为广域InSAR数据处理与参数反演。E-mail:fredgps@csu.edu.cn

      FENG Guangcai

      1 * ,
      • Affiliation:

        Surveying and Mapping Institute Lands and Resource Department Guangdong Province, Guangzhou 510663, China

      WANG Bin

      2,
      • Affiliation:

        Surveying and Mapping Institute Lands and Resource Department Guangdong Province, Guangzhou 510663, China

      LIU Jincang

      2,
      • Affiliation:

        Radar Remote Sensing Laboratory, School of Geosciences and Info-physics, Central South University, Changsha 410083, China

      JIANG Hongbo

      1,
      • Affiliation:

        Radar Remote Sensing Laboratory, School of Geosciences and Info-physics, Central South University, Changsha 410083, China

      LI Ning

      1
    • Vol. 29, Issue 11, Pages: 3124-3135(2025)  
    • DOI:10.11834/jrs.20254179    

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