基于三维激光点云的规划竣工建筑立面自动提取研究OA

To address the problem of inaccurate extraction of building facades in planning completion caused by shadows and distortion in oblique photographic images,the article proposes an automatic extraction method for planning completion building facades based on 3D laser point clouds.The method uses 3D laser scanning technology to obtain point cloud data of the planning completion buildings and performs 3D point cloud segmentation based on the best-fitting plane.The point clouds of the segmented building planes are meshed,and the distance between the point clouds and the mesh center as well as the point cloud elevation are calculated to extract building point cloud features.These point cloud features are input into a support vector machine classifier using a linear kernel function to achieve automatic extraction of building facades.The results show that the deviation distance of the facade extraction using this method is less than 0.03 m,realizing precise extraction of building facades.