LiDAR点云数据的栅格化重心压缩方法  

Grid compression method in center of gravity for LiDAR cloud data

作　　者：刘磊[1,2] 张建霞[2] 郑作亚[1,2] 

机构地区：[1]山东科技大学测绘学院,山东青岛266510 [2]中国测绘科学研究院,北京100039

出　　处：《测绘科学》2011年第1期90-91,共2页Science of Surveying and Mapping

基　　金：国家高技术研究发展计划(863计划)重点项目(项目号2008AA121301)

摘　　要：本文分析了国内外点云数据处理中数据压缩方法的研究现状。针对车载LiDAR点云数据量庞大、冗余信息多的问题,提出了栅格化重心压缩方法,介绍了该方法的原理和实现过程。通过实例分析,得出了压缩结果,建立了栅格化重心压缩的预测模型,可用于栅格化重心压缩效果的预测。This paper analyzed the status of the methods of data compression in data processing of cloud data both at home and a- broad, after that put forward the method of grid compression in center of gravity based on the large cloud points and redundant informa- tion, and then introduced the principle of the method and implementation process. It obtained the result of compression and built the predicted model of grid compression in center of gravity that can be used in predicting the effect of grid compression in center of gravity through analyzing an actual example.

关 键 词：LIDAR 点云数据 数据压缩 栅格 

分 类 号：P22[天文地球—大地测量学与测量工程]