Abstract: The reduction and storage of enormous point cloud data is a crucial link in reverse model reconstruction. Considering the features of point cloud data by single station laser scanning, a new method — grid sector method was put forward for its reduction and storage. Point cloud data could be filtered and stored only by traversal. This method was realized on VC++ 6.0. Multi-station scanning of point cloud registration and stitching would be more quickly and efficiently, if the site goes through the fan in a single grid after treatment. Based on the contrast with traditional compressing methods, this paper analyzed its characteristics and proved its applicability in battlefield terrain digitization.

Key words: single station 3D laser scanning, point cloud data, reduction and storage, grid sector method, battlefield terrain digitization

摘要： 海量点云数据的精简存储是逆向建模的一个关键环节,针对单站地面固定式三维激光扫描点云扇形等特点,提出了一种新的点云精简存储方法——扇形网格法。对点云数据遍历一次,即完成对点云的精简、降噪与存储,并用VC++6.0编写实现。多站扫描点云的配准、拼接,如果在单站点云经过扇形网格法处理后进行,会更快速高效。在与传统点云压缩算法分析对比的基础上,对其特点进行了分析,对在战场地形数字化中的适用性进行了验证。

关键词: 单站三维激光扫描, 点云数据, 精简存储, 扇形网格法, 战场地形数字化