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    • Research on topographic influences and correction methods in InSAR Phase Gradient Stacking

    • The phase gradient stacking method has the advantages of not relying on phase unwrapping, being insensitive to atmospheric errors, high computational efficiency, and being less affected by decoherence. Researchers have established a phase gradient stacking method that takes into account geometric distortions. By introducing a unified spatial reference for the field distance corresponding to adjacent pixels, the perspective shrinkage effect is effectively weakened, providing a solution for landslide identification in complex mountainous areas.
      • role:First author第一作者
      • Affiliation:

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

      • Email:20232101050@stu.kust.edu.cn
      • Introduction:俸彬,研究方向为InSAR地质灾害监测。E-mail:20232101050@stu.kust.edu.cn

      FENG Bin

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

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

        Yunnan Provincial Key Laboratory of Quantitative Remote Sensing (Under Preparation), Kunming 650093, China

        Yunnan International Joint Laboratory for Integrated Intelligent Monitoring of Mountain Hazards by Sky and Land, Kunming 650093, China

      • Email:menghuali@kust.edu.cn
      • Introduction:李梦华,研究方向为InSAR地质灾害监测。E-mail:menghuali@kust.edu.cn

      LI Menghua

      123 * ,
      • Affiliation:

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

        Yunnan Institute of Geological Environment Monitoring, Kunming 650093, China

      WEI Lei

      14,
      • Affiliation:

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

        Yunnan Institute of Geological Environment Monitoring, Kunming 650093, China

      HUANG Cheng

      14,
      • Affiliation:

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

        Yunnan Provincial Key Laboratory of Quantitative Remote Sensing (Under Preparation), Kunming 650093, China

        Yunnan International Joint Laboratory for Integrated Intelligent Monitoring of Mountain Hazards by Sky and Land, Kunming 650093, China

      TANG Bohui

      123
    • Vol. 30, Issue 4, Pages: 957-970(2026)  
    • DOI:10.11834/jrs.20265316    

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