海量点云数据管理方法的研究

Massive Point Cloud Data Management Research

提出使用八叉树数据结构,高效实现激光扫描测量海量点云数据管理的方法。详细讨论了点云数据管理过程中的动态更新、索引数据的存储、动态调度与绘制、领域的查询等,这为测量点云数据后处理打下了良好的基础。

This paper presented a way to achievehigh-efficiency management of laser scanning and measuring of massive point cloud data by using octree data structure. The paper discussed in detail the point cloud data management in the process of dynamic update, the index data storage, dynamic scheduling, mapping and field inquiry. Finally a data organization approach was put forward to massive point cloud. This approach served as reference for post- processing of massive point cloud data.