The urban objects classification based on LiDAR 3D

摘要：

　　The Lidar technology can quickly acquire three-dimensional information of earth surface with high precision.As a new technique of data collection acquisition,it has been gradually applied to many industry.The classification on point cloud is the premise and key step to the feature extraction and the model building of objects.Based on LiDAR 3D and ANN This paper presents a classification method mainly suitable for the urbans typical objects.It takes the changsha city as the study area,to verify the effectiveness of this method.The result shows that,this classification method successfully classifies the categories of the ground,buildings,trees and bare lands.

关键词： LIDAR point cloud 3D digital Image Objects classification ANN

作者: Zuowei Huang Shu He Luo Qiu

作者单位: School of Architecture and urban planning,Hunan University of Technology,Zhuzhou 412008,China;School School of Architecture and urban planning,Hunan University of Technology,Zhuzhou 412008,China School of Geosciences and Information-Physics,Central South University,Changsha 410083,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 1840-1843

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）