激光与光电子学进展, 2021, 58 (8): 0828001, 网络出版: 2021-04-16
基于点线面混合控制基元的点云地理化 下载: 609次
Point Cloud Georeferencing Based on Fixed Control Primitives of Point, Line, and Surface
成像系统 地理化 混合控制基元 地理化参数 精度 imaging systems georeferencing fixed control primitives georeferencing parameters accuracy
摘要
点云配准和点云地理化是点云数据处理中的重要步骤,其中地理化是点云数据与其他地理空间数据集成的基础。静态地面激光扫描点云地理化中,基于最少混合控制基元的点云地理化研究较少,因此,提出了一种由1个点基元、1条线基元和1个面基元构成的混合控制基元解算点云地理化参数的方法。实验结果表明,本方法的地理化精度较高,且能快速直接解算地理化参数,从而为精地理化提供初值。
Abstract
Point cloud registration and georeferencing are essential steps in point cloud data processing. Georeferencing is the basis of point cloud data integration with other geospatial data. In the georeferencing of static ground laser scanning point clouds, there are few studies on the georeferencing of point clouds based on the least fixed control primitives. Therefore, we propose a fixed control primitives method consisting of 1 point primitive, 1 line primitive and 1 surface primitive, which can be used to calculate the point cloud georeferencing parameters. The experiment results show that the method has high georeferencing accuracy, can quickly and directly calculate geography parameters, and provide initial values for fine georeferencing.
王家晖, 姚吉利, 赵雪莹, 胡信志, 赵猛. 基于点线面混合控制基元的点云地理化[J]. 激光与光电子学进展, 2021, 58(8): 0828001. Jiahui Wang, Jili Yao, Xueying Zhao, Xinzhi Hu, Meng Zhao. Point Cloud Georeferencing Based on Fixed Control Primitives of Point, Line, and Surface[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0828001.