Outdoor Illegal Construction Identification Algorithm Based on 3D Point Cloud Segmentation
Recently,various illegal constructions occur significantly in our surroundings,which seriously restrict the orderly development of urban modernization.The 3D point cloud data technology is used to identify the illegal buildings,which could address the problem above effectively.This paper proposes an outdoor illegal construction identification algorithm based on 3D point cloud segmentation.Initially,in order to save memory space and reduce processing time,a lossless point cloud compression method based on minimum spanning tree is proposed.Then,a ground point removing method based on the multi-scale filtering is introduced to increase accuracy.Finally,building clusters on the ground can be obtained using a region growing method,as a result,the illegal construction can be marked.The effectiveness of the proposed algorithm is verified using a publicly data set collected from the International Society for Photogrammetry and Remote Sensing(ISPRS).
Lu An Baolong Guo
Institute of Intelligent Control and Image Engineering,Xidian University,Xian,China
国际会议
上海
英文
1-7
2017-12-28（万方平台首次上网日期，不代表论文的发表时间）