海量车载激光点云组织与可视化研究  

Research on Organization and Visualization of Massive Vehicle-borne Laser Point Cloud

作　　者：李锋[1] 詹勇[1] 龙川[1] Li Feng;Zhan Yong;Long Chuan(Chongqing Survey Institute,Chongqing 401121,China)

机构地区：[1]重庆市勘测院,重庆401121

出　　处：《城市勘测》2020年第1期93-97,共5页Urban Geotechnical Investigation & Surveying

基　　金：2018年度重庆市科委技术创新与示范重大主题专项项目(cstc2018jszx-cyztzxX0015)。

摘　　要：车载移动测量系统是一种高精度、高速度的空间信息采集设备,由于获取的点云数据量大,海量车载激光点云的数据处理、三维建模和可视化面临挑战。考虑到车载激光点云沿采集线路逐行扫描形成的特点,提出了一种分块多层叠加型空间索引结构,对海量车载激光点云数据自动分块并建立LOD瓦片结构,实现海量车载激光点云数据的管理与动态调度。实验结果表明:该方法具有有效性和可行性。Vehicle mobile measurement system is a kind of space information acquisition equipment with high-precision and high-speed.Because of the large amount of point cloud data acquired,the data processing,three-dimensional modeling and visualization of massive vehicle-borne laser point cloud are facing challenges.Considering that vehicle-borne laser point cloud shave the characteristics of line-by-line scanning along the acquisition route,a block-based multi-layer superimposed spatial index structure is proposed.The massive laser point clouds are automatically partitioned and LOD tiles are generated to realize the management and dynamic scheduling of massive vehicle-borne laser point clouds.The experiment results show that the method is effective and feasible.

关 键 词：车载激光点云 LOD 分块多层叠加型空间索引 点云可视化 

分 类 号：P237[天文地球—摄影测量与遥感]