期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B1
页码：463-468
出版社：Copernicus Publications
摘要：This paper presents an approach to realizing LiDAR data management in DBMS. We use octree to partition data space, and build a local KD tree at each octree's node. In data organization, we take precise control on the size of the KD tree's nodes. To effectively visualize point cloud data, the display precision is defined. The basic concept is to judge whether a node is displayed or not, by computing the size of a node's data range after projection. We also discusses the method of screen-buffer and makes KD traversing from front to back, which can reduce the number of points for displaying and accelerate display speed. This method is particularly suitable for very dense data or data far away from the viewpoint
关键词：LiDAR data; Octree; Quadtree; Local KD tree; Display precision
