A database approach to very large LiDAR data management

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 ICD 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.