基于机载LiDAR点云数据的建筑物三维模型重建方法研究  

Research on reconstruction methods for building 3D Models based on airborne LiDAR point cloud data

作　　者：王万发 WANG Wanfa(The Fifth Brigade of Guizhou Province Nonferrous Metals and Nuclear Industry Geological Exploration Bureau,Anshun 561000,China)

机构地区：[1]贵州省有色金属和核工业地质勘查局五总队,贵州安顺561000

出　　处：《经纬天地》2024年第3期29-32,62,共5页Survey World

摘　　要：根据建筑物点云的分布特征,提出一种机载LiDAR点云建筑物三维模型重建方法。首先,利用布料模拟滤波算法剔除地面点,实现包含建筑物点云在内的非地面点提取,并利用最大类间方差法提取建筑物点云;其次,使用Alpha Shape算法提取建筑物点云中边缘点,并规则化处理建筑物轮廓线,通过屋顶分割算法提取建筑物屋顶信息;最后,使用SharpGL工具进行建筑物三维模型重建。以某地级市某地区机载LiDAR点云数据为例进行实验,结果表明该方法进行建筑物三维模型重建具有较高的精度与效率,适用于城镇复杂区域建筑物三维模型重建。A reconstruction method for building three-dimensional models of airborne LiDAR point clouds is proposed in this article according to the distribution characteristics of building point clouds.Firstly,the fabric simulation filtering algorithm is used to remove ground points and achieve the extraction of non ground points including building point clouds,and the maximum inter class variance method is used to extract building point clouds.Secondly,the Alpha Shape algorithm is used to extract edge points from building point clouds,and the building contour lines are regularized to extract building roof information.Finally,use the SharpGL tool to reconstruct the 3D model of the building.Taking the airborne LiDAR point cloud data from a certain prefecture level city and area as an example,the experiment showed that the method proposed in this paper has high accuracy and efficiency in reconstructing building 3D models,and is suitable for reconstructing building 3D models in complex urban areas.

关 键 词：机载LiDAR点云数据 建筑物三维模型重建 布料模拟滤波算法 最大类间方差法 Alpha Shape 

分 类 号：P231[天文地球—摄影测量与遥感]