首页 | 本学科首页   官方微博 | 高级检索  
     

激光雷达应用中的几种数据表达方式
引用本文:梁欣廉,张继贤,李海涛,闫平.激光雷达应用中的几种数据表达方式[J].遥感信息,2005(6):60-64,T0001.
作者姓名:梁欣廉  张继贤  李海涛  闫平
作者单位:1. 中国测绘科学研究院,北京,100039
2. 武汉大学测绘遥感信息工程国家重点实验室,武汉,430079
摘    要:激光雷达数据有其自身的特点,在三维空间中呈不规则分布的点云。这种数据形式在为信息提取带来便利的同时,也对数据表达方式提出更高的要求。不恰当的数据组织方法不仅会损失部分信息,还可能为信息提取带来某种困难。常用的数据表达方式包括规则格网、不规则三角网、剖面、体元等。本文对这些方法进行了比较分析,指出它们各自的优势和不足。此外,通过对激光雷达数据、表达方式、算法三者间相互关系的分析,探讨了数据表达方式在信息提取中所起的作用。

关 键 词:激光雷达  激光脚点  点云  数据表达方式
文章编号:1000-3177(2005)82-0060-05
收稿时间:2005-04-15
修稿时间:2005-04-152005-06-23

Representations of LIDAR Data in Different Applications
LIANG Xin-lian,ZHANG Ji-xian,LI Hai-tao,YAN Ping.Representations of LIDAR Data in Different Applications[J].Remote Sensing Information,2005(6):60-64,T0001.
Authors:LIANG Xin-lian  ZHANG Ji-xian  LI Hai-tao  YAN Ping
Affiliation:Chinese Academy of Surveying and Mapping, Beijing 100039; China State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
Abstract:With remarkable development,the small-footprint multi-return LIDAR system has proven to be satisfactory for a variety of application,such as high-resolution elevation model generation,three-dimensional city environment mapping,vegetation structure estimation,etc.While the irregular distributed 3D points(points cloud) lend themselves to analyses and studies,they also necessitate an appropriate representation,especially for some particular purposes or in some specific applications.On the contrary,an improper one might lead to not only information loss but also erroneous interpretation.In this paper,some representing methods are examined,including raster grid,Triangulated Irregular Network(TIN),profile and volumetric pixel(voxel),while some other related ones are also mentioned(e.g.Pseudo-Grid and Octree Structure). And,an exploration of the role,that representations play in feature extractions,is also presented,by an analysis of the relationships among LIDAR data,representations and algorithms.
Keywords:LIDAR/LADAR  footprint  point cloud  representation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号