基于LIDAR数据的建筑三维重建

Reconstruction of 3D building models based on LIDAR data

为了实现数字城市中三维建筑场景的快速建模,针对平顶建筑,采用"Alpha shapes算法"提取建筑轮廓线,进一步概括和规则化后,结合屋顶高度可快速实现平顶建筑三维模型的自动重建;针对非平顶建筑,采用"基于法向量聚类分析的屋顶提取方法"和相应的屋顶规则化策略,实现了几种常见规则屋顶的建筑模型三维重建。实践结果表明:本文算法方法精度可靠,简洁高效,具有一定自适应性,非常适用于LIDAR数据提取城市典型建筑的三维模型。

In order to reconstruct 3D building models in a digital city, an Alpha Shapes algorithm has been developed in this study to extract the building boundaries of flat-roofed buildings. The 3D building models are then automatically reconstructed based on the boundaries extracted and the average elevation of buildings. In addition, the clustering method based on normal vector and relevant regularization strategies has been developed to reconstruct the 3D building models of various kinds of common non-flat-roofed buildings. The case studies demonstrate that these algorithms and methods are of high precision, effective, concise and stable, and self-adaptive. They are highly suitable for the automatic construction of 3D building models based on LIDAR data.