LIDAR Point Cloud Data Extraction and Establishment of 3D Modeling of Buildings

5th Annual International Conference on Material Science and Environmental Engineering

材料科学;生态环境科学

Zhang, Yujuan^1 ; Li, Xiuhai^1 ; Wang, Qiang^1 ; Liu, Jiang^1 ; Liang, Xin^1 ; Li, Dan^1 ; Ni, Chundi^1 ; Liu, Yan^1

Heilongjiang Institute of Technology, Harbin

150050, China^1

关键词: 3-d modeling;    Canny Operators;    Least square methods;    Lidar point cloud datum;    Lidar point clouds;    Line detection;    Region growing methods;    Regular grids;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/301/1/012037/pdf
DOI  :  10.1088/1757-899X/301/1/012037

来源: IOP

【 摘 要 】

This paper takes the method of Shepard's to deal with the original LIDAR point clouds data, and generate regular grid data DSM, filters the ground point cloud and non ground point cloud through double least square method, and obtains the rules of DSM. By using region growing method for the segmentation of DSM rules, the removal of non building point cloud, obtaining the building point cloud information. Uses the Canny operator to extract the image segmentation is needed after the edges of the building, uses Hough transform line detection to extract the edges of buildings rules of operation based on the smooth and uniform. At last, uses E3De3 software to establish the 3D model of buildings.