Study on building extraction with LiDAR point cloud
OUYANG Jun1， WANG Shugen1， Chen Qi2， KANG Yifei1， SUN Mingwei1
1.School of Remote Sensing and Information Engineering， Wuhan University， Wuhan 430079；2.Faculty of Information Engineering， China University of Geosciences (Wuhan)， Wuhan 430074
Abstract：A building detection method based on triangle primitives is proposed. Firstly， TIN is built using the LiDAR point cloud data. Secondly， triangular primitives are classified based on their characteristics. And then， the classified triangular primitives are clustered based on their adjacency. Finally， the clustered point cloud are traced to get the building outline. The proposed method is validated on LiDAR point cloud data of urban area provided by International Society for Photogrammetry and Remote Sensing (ISPRS). Comparing with building detection methods that using point cloud or segmented blocks as primitive， the proposed method is able to extract building outlines more accurately， with correctness up to 96%， and completeness up to 85%.
欧阳君,王树根,陈 奇,康一飞,孙明伟. 基于LiDAR点云的建筑物检测方法研究[J]. 华中师范大学学报(自然科学版), 2017, 51(3): 402-406.
OUYANG Jun,WANG Shugen,Chen Qi,KANG Yifei,SUN Mingwei. Study on building extraction with LiDAR point cloud. journal1, 2017, 51(3): 402-406.
2017, Vol. 51 
