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基于车载激光扫描数据的目标分类方法
引用本文:吴芬芳,李清泉,熊卿.基于车载激光扫描数据的目标分类方法[J].测绘科学,2007,32(4):75-77,55.
作者姓名:吴芬芳  李清泉  熊卿
作者单位:武汉大学期刊社,武汉,430072;武汉大学空间信息与网络通信研究中心,武汉,430079;武汉大学计算机学院,武汉,430079
基金项目:国家高技术研究发展计划(863计划)
摘    要:车裁扫描系统可以获取建筑物、道路、隧道等城市物体的表面信息,非常适用于城市物体三维空间信息的快速有效获取。本文从激光扫描数据中进行建筑物特征提取,重点是车载激光扫描数据分类;设计了一种新的车载激光扫描数据分类和建筑物特征提取方法,此方法充分利用激光扫描数据的空间分布特征和城市环境中各种物体自身的几何特征,将所有数据点投影到水平格网中,对每个格网单元,计算其中所有数据点投影前高度值的最大值,根据此最大值来判定该格网单元中数据点的类别,从分类后的数据中提取建筑物特征。应用所设计的数据处理方法处理车载式三维信息采集系统采集的数据,分析得到了结果。

关 键 词:激光扫描  数据分类  特征提取
文章编号:1009-2307(2007)04-0075-04
修稿时间:2006-09-19

On classification of vehicle-borne laser-scanning data
WU Fen-fang,LI Qing-quan,XIONG Qing.On classification of vehicle-borne laser-scanning data[J].Science of Surveying and Mapping,2007,32(4):75-77,55.
Authors:WU Fen-fang  LI Qing-quan  XIONG Qing
Abstract:The research presented in this paper is focused on extracting building's feature from laser-scanning data, especially the classification of vehicle-borne laser-scanning data. A method is proposed for classification and building's feature extraction from laser scanning data captured by vehicle-borne laser-scanning. This method is also feasible to multi-view ground-based laser-scanning data after registration. The spatial distribution characteristics of the points in the range image and the geometric characteristics of various objects in urban environment are adequately utilized in this method. Firstly, all the data points in the range image are projected on the horizontal grids. Secondly, for each grid, the max value of the height before being projected is calculated. Finally, this max value is used to classify the data points. Some experimental examples using the proposed method are presented and the result of the experiment is analyzed.
Keywords:laser scanning  data classification  feature extraction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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