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    • Deformation pattern recognition in the Baihetan reservoir area using transfer learning-temporal convolutional networks and multi-temporal InSAR

    • “Monitoring the stability of the bank slope in the Baihetan hydropower station reservoir area is crucial. A time series deformation pattern intelligent recognition model was constructed by integrating transfer learning and time convolutional network (TCN). The research team established a six dimensional deformation classification system, which verified the effectiveness of transfer learning in reducing the cost of time series annotation and provided a new paradigm for dynamic assessment of disaster risks in the reservoir area.”
      • role:First author第一作者
      • Affiliation:

        School of Earth Sciences, Yunnan University, Kunming 650500, China

        Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650500, China

      • Email:yangms@ynu.edu.cn
      • Introduction:杨梦诗,研究方向为时间序列InSAR方法及其在地表形变监测中的应用。E-mail: yangms@ynu.edu.cn

      YANG Mengshi

      12,
      • Affiliation:

        School of Earth Sciences, Yunnan University, Kunming 650500, China

        Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650500, China

      YIN Kang

      12,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Earth Sciences, Yunnan University, Kunming 650500, China

        Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650500, China

      • Email:lsw_ynu@163.com
      • Introduction:李赛伟,研究方向为深度学习与InSAR数据智能处理。E-mail: lsw_ynu@163.com

      LI Saiwei

      12 * ,
      • Affiliation:

        Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

      LI Menghua

      3,
      • Affiliation:

        School of Earth Sciences, Yunnan University, Kunming 650500, China

        Yunnan International Joint Laboratory of China-Laos-Bangladesh-Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650500, China

      ZHAO Zhifang

      12,
      • Affiliation:

        Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

        Yunnan Key Laboratory of Geohazard Forecast and Geological Restoration in Plateau Mountainous Area, Kunming 650216, China

        Yunnan Institute of Geological Environment Monitoring, Kunming 650216, China

      HUANG Cheng

      345
    • Vol. 30, Issue 4, Pages: 1130-1149(2026)  
    • DOI:10.11834/jrs.20265325    

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