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    • Automatic extraction of high-voltage transmission pylons with multifeature constraints

    • In the field of power inspection, experts have proposed an automatic extraction method for tower point clouds based on multi feature constraints, providing a solution for long-distance large-scale applications.
      • role:First author第一作者
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing100094, China

        University of Chinese Academy of Sciences, Beijing100049, China

      • Email:wangpu0129@hotmail.com
      • Introduction:王濮,研究方向为激光雷达点云数据处理。E-mail: wangpu0129@hotmail.com

      WANG Pu

      123,
      • role:Corresponding author通信作者
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing100094, China

        University of Chinese Academy of Sciences, Beijing100049, China

      • Email:wangcheng@aircas.ac.cn
      • Introduction:王成,研究方向为激光雷达遥感。E-mail: wangcheng@aircas.ac.cn

      WANG Cheng

      123 * ,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing100094, China

      XI Xiaohuan

      12,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing100094, China

      NIE Sheng

      12,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing100094, China

      DU Meng

      12
    • Vol. 28, Issue 10, Pages: 2651-2660(2024)  
    • DOI:10.11834/jrs.20232684    

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XI Xiaohuan 中国科学院空天信息创新研究院数字地球重点实验室;可持续发展大数据国际研究中心
NIE Sheng 中国科学院空天信息创新研究院数字地球重点实验室;可持续发展大数据国际研究中心
DU Meng 中国科学院空天信息创新研究院数字地球重点实验室;可持续发展大数据国际研究中心

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*University of Chinese Academy of Sciences