摘要
研究了从LiDAR点云数据中快速提取建筑物的方法路线。首先通过滤波去噪从点云数据中获取数字表面模型DSM,再通过地面点数据分类获取数字地面模型DTM,将DSM与DTM相减得出对应实体主要为建筑物和植被等地物的规则化nDSM。再利用激光扫描线方向X变量值与高度函数值Z的导数值来确定LiDAR点云是否为建筑物类型,基于此理论对建筑物提取参数进行设置,从而快速提取出建筑物信息。通过实验数据论证并进行成果分析,结果表明本文方法具有较高的效率和准确率。
The method of quickly extracting buildings from Li DAR point cloud data is studied. Firstly, the digital surface model(DSM) is obtained from point cloud data through filtering and de-noising. Then the digital ground model DTM is obtained by classifying the ground point data. And the regularized nDSM is obtained by subtracting DSM and DTM. The laser scanning direction variable value X and the height function value Z are used to determine whether the Li DAR point cloud is a building.Based on this theory, the parameters of building extraction are set, and the building information will be extracted quickly. The experiment results show high efficiency and accuracy of the proposed method.
作者
易茹兰
易明华
徐玉玲
YI Rulan;YI Minghua;XU Yuling(Jiangxi Remote Sensing Institute of Geographical Conditions Monitoring,Nanchang 330209,China;Jiangxi Surveying and Mapping Emergency Support Service Center,Nanchang 330209,China;Key Laboratory of Watershed Ecology and Geographical Environment Monitoring,NASG,Nanchang 330209,China)
出处
《江西测绘》
2018年第4期23-25,共3页
JIANGXI CEHUI
