国土资源遥感Issue(1)：17-21,5.DOI:10.6046/gtzyyg.2012.01.04
基于地物特征提取的车载激光点云数据分类方法
A Classification Method for Mobile Laser Scanning Data Based on Object Feature Extraction
摘要
Abstract
Compared with traditional survey technologies, mobile laser scanning has many advantages. Its characteristics make it possible to rapidly acquire large -area high -precision 3D spatial data for reconstruction of 3D (three - dimensional) model. This paper focuses on the classification of mobile laser scanning data. The authors present a multi - level classification method based on object feature extraction, namely extraction of main features by PC A ( Principal Component Analysis). This method was applied to blocks point data obtained by mobile laser scanning, and the results show that the proposed classification method is promising.关键词
车载激光点云数据/特征提取/主成分分析/数据分类Key words
mobile laser scanning data/ feature extraction/ PCA/ classification分类
信息技术与安全科学引用本文复制引用
李婷,詹庆明,喻亮..基于地物特征提取的车载激光点云数据分类方法[J].国土资源遥感,2012,(1):17-21,5.基金项目
国家高技术研究发展计划(863计划)项目(编号:2006AA12Z151)和国家自然科学基金项目(编号:40871211)共同资助. （863计划）
