地面三维激光扫描点云质量评价技术研究与展望
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  • 英文篇名:Research and Prospect of Terrestrial 3D Laser Scanning Point Cloud Quality Evaluation Technology
  • 作者:花向红 ; 赵不钒 ; 陈西江 ; 宣伟
  • 英文作者:HUA Xianghong;
  • 关键词:地面三维激光扫描 ; 点云质量评价 ; 点云误差空间 ; 点云误差熵 ; 点云误差椭球
  • 英文关键词:terrestrial 3D laser scanning;;point cloud quality evaluation;;point cloud error space;;point cloud error entropy;;point cloud error ellipsoid
  • 中文刊名:DXKJ
  • 英文刊名:Geospatial Information
  • 机构:武汉大学测绘学院;武汉大学灾害监测和防治研究中心;武汉理工大学资源与环境工程学院;武汉理工大学土木工程与建筑学院;
  • 出版日期:2018-08-20 18:42
  • 出版单位:地理空间信息
  • 年:2018
  • 期:v.16;No.108
  • 基金:国家自然科学基金资助项目(41674005、41174010)
  • 语种:中文;
  • 页:DXKJ201808001
  • 页数:8
  • CN:08
  • ISSN:42-1692/P
  • 分类号:7+10-16
摘要
介绍了地面三维激光扫描误差来源和系统误差自检校方法,构建了测距测角引起的点位误差和光斑影响下的点位误差模型。阐述了利用点云误差椭球和误差熵评价点云精度方法和工程应用效果,给出了点云配准、点云简化、点云产品质量评价方法和研究进展,对地面三维激光扫描点云质量评价发展趋势进行了展望。
        Firstly, we introduced the terrestrial 3D laser scanning error source and system error self-calibration method in this article. And then, we analyzed the point error caused by ranging angle measurement and the point error model under the influence of light spot, and described the evaluation methods of point cloud accuracy and their engineering application effect using point cloud error ellipsoid and error entropy. Finally, we gave the methods of the point cloud registration, point cloud simplification and point cloud product quality evaluation, introduced research progress, and prospected the development trend of the point cloud quality evaluation for terrestrial 3D laser scanning on the ground.
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