利用双向布料模拟的机载建筑物点云提取

针对现有机载激光扫描数据的建筑物提取方法过程复杂且易受植被干扰的问题,本文提出了一种利用双向布料模拟策略的建筑物提取方法。首先在正向布料模拟滤波的基础上,构建归一化数字表面模型提取过高建筑物,并采用反向布料模拟,从其余地物点中粗提取建筑物顶面点云;然后进行穿透性分析,并结合形态学操作进一步剔除错提的植被点;最后,以包含顶面点云的三维格网为种子格网,根据格网之间的邻接关系和内部点云几何特征进行约束生长,获取完整建筑物点云。试验结果表明,在复杂场景中,该方法能够有效避免植被的干扰,快速提取建筑物点云,具有提取精度高、计算时间少的优点。

Point cloud extraction of airborne buildings using bidirectional cloth simulation method

Aiming at the problem that the existing building extraction methods of airborne laser scanning data are complicated and easily disturbed by vegetation,a building extraction method using a two-way cloth simulation strategy is proposed.First,a regular grid is established for the original point cloud,and on the basis of forward cloth simulation filtering,the over-high buildings are first extracted through the grid elevation difference statistics,and then the reverse cloth simulation is used to roughly extract the top of the building from the remaining feature points.Surface point cloud;then conduct penetration analysis and combine the morphological opening operation to further eliminate the wrongly mentioned vegetation points;finally,the three-dimensional grid containing the top surface point cloud is used as the seed grid,according to the adjacency relationship between the grids and The geometric features of the internal point cloud are used for regional growth to obtain a complete building point cloud.Experimental results show that in complex scenes,this method can effectively avoid the interference of vegetation,quickly extract building point clouds,and has the advantages of high extraction accuracy and less calculation time.