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    • A point cloud registration method using multi-feature keypoint extraction and similar triangle-based point pair optimization

    • The research progress in the field of point cloud registration was introduced, and relevant experts proposed a point cloud registration method based on multi feature keypoint extraction and similar triangle optimization of point pairs, providing a new solution for solving the problem of complex point cloud registration accuracy.
      • role:First author第一作者
      • Affiliation:

        College of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China

        Nanchang Base of International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Nanchang 330022, China

        Research Center for Linguistic Spatial Information Science, Jiangxi Normal University, Nanchang 330022, China

      • Email:tuhaowen0204@126.com
      • Introduction:涂浩文,研究方向为点云配准与建模。E-mail: tuhaowen0204@126.com

      TU Haowen

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

        College of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China

        Nanchang Base of International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Nanchang 330022, China

        Research Center for Linguistic Spatial Information Science, Jiangxi Normal University, Nanchang 330022, China

      • Email:wjhgis@126.com
      • Introduction:吴建华,研究方向为空间数据智能集成、地理信息工程、语言空间智能。E-mail: wjhgis@126.com

      WU Jianhua

      123 * ,
      • Affiliation:

        College of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China

        Nanchang Base of International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Nanchang 330022, China

      WANG Yuan

      12
    • Vol. 29, Issue 12, Pages: 3706-3723(2025)  
    • DOI:10.11834/jrs.20254532    

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TU Haowen 江西师范大学 地理与环境学院;联合国教科文组织国际自然与文化遗产空间技术中心南昌分中心;江西师范大学 语言空间信息科学研究中心
WU Jianhua 江西师范大学 地理与环境学院;联合国教科文组织国际自然与文化遗产空间技术中心南昌分中心;江西师范大学 语言空间信息科学研究中心
Wang Yuan 江西师范大学 地理与环境学院;联合国教科文组织国际自然与文化遗产空间技术中心南昌分中心
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