利用三维激光点云重构建筑物模型

随着三维激光点云数据获取能力的提升，基于三维激光点云进行建筑物模型重建与立面测绘成为工程应用中常用的方法。三维激光点云数据能够体现建筑物丰富和直观的细节信息，然而海量数据处理给建筑物模型构建带来了极大挑战。本文通过对建筑物的三维激光点云数据进行横切得到建筑物轮廓点，并采用基于遗传算法的TSP算法对轮廓点进行处理以获取建筑物各立面的方程系数，最终实现建筑物模型的构建和获取详细的建筑物立面数据。试验结果表明，此方法可以较好地实现LOD1级建筑物模型的构建，进而为更高（LOD3）级别的建筑物模型构建提供依据。

Reconstructing building model by using 3D laser point cloud

With the improvement of data acquisition ability of 3D laser point cloud,building model reconstruction and elevation mapping based on 3D laser point cloud has become a common practice in engineering applications. 3D laser point cloud data can reflect abundant and intuitive details of buildings. However,the processing of massive 3D point cloud data brings great challenges to building models. The contour points of buildings are extracted by cross-cutting the 3D laser point cloud data of buildings. The TSP algorithm base on genetic algorithm are used to process the contour points and obtain the equation coefficients of the facades of buildings. Finally,the construction of building models and the detailed vector data of the facades of buildings can be obtained. The experimental results show that this method can better realize the construction of LOD1 building model,providing a basis for building model construction of higher(LOD3) level.