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.
出处
《地理空间信息》
2018年第8期1-7,共7页
Geospatial Information
基金
国家自然科学基金资助项目(41674005
41174010)
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
terrestrial 3D laser scanning
point cloud quality evaluation
point cloud error space
point cloud error entropy
point cloud error ellipsoid