基于激光点云的建筑物立面轮廓提取

Boundary Extraction of Building Facade Based on Laser Point Clouds

提出一种基于三维激光点云数据的建筑物立面轮廓提取方法。在数据预处理的基础上,采用考虑局部点云密度的自适应建筑物立面分割方法进行建筑物立面点云分割,并将分割后的建筑物立面进行重心化和坐标转换,利用轮廓提取算法进行建筑物立面轮廓提取。分别采用模拟和实测点云数据进行实验,结果表明,该方法能够有效提取建筑物立面轮廓。

A boundary extraction method for building facades based on three-dimensional laser point clouds is proposed. First, based on point-cloud preprocessing, an adaptive building facade segmentation method that considers local point cloud density is used for building faqade segmentation. Then, the point coordinates of the segmented building facade are centralized and transformed. Finally, the boundary extraction method is used to extract the boundary points of the building facade. Simulated building points and actual measured terrestrial point clouds are used in the experiment. The results demonstrate that the proposed method provides an effective solution for extracting the boundary of a building facade.