计算机应用 ›› 2011, Vol. 31 ›› Issue (05): 1255-1257.DOI: 10.3724/SP.J.1087.2011.01255

• 图形图像技术 • 上一篇    下一篇

新的点云数据精简存储方法

张有亮,刘建永,付成群,郭杰   

  1. 解放军理工大学 工程兵工程学院, 南京210007
  • 收稿日期:2010-09-28 修回日期:2010-11-29 发布日期:2011-05-01 出版日期:2011-05-01
  • 通讯作者: 张有亮
  • 作者简介:张有亮(1986-),男,河北邯郸人,硕士研究生,主要研究方向:军事仿真、战场环境数字化、指挥自动化;刘建永(1962-),男,江苏泰州人,教授,博士,主要研究方向:战场环境数字化、指挥自动化、军事运筹学;付成群(1976-),男,河南新乡人,副教授,博士,主要研究方向:电磁伪装与防护、战场环境数字化;郭杰(1982-),男,安徽阜阳人,博士研究生,主要研究方向:指挥自动化、战场数字化。
  • 基金资助:

    国家博士后科学基金资助项目(20090451499)。

New method for point cloud data reduction

ZHANG You-liang, LIU Jian-yong, FU Cheng-qun, GUO Jie   

  1. Engineering Institute of Engineering Corps, PLA University of Science and Technology, Nanjing Jiangsu 210007, China
  • Received:2010-09-28 Revised:2010-11-29 Online:2011-05-01 Published:2011-05-01

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

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