基于激光雷达和正射影像的建筑物屋顶模型三维重建研究

Lihua Tong, Manchun Li, Yanming Chen, Yafei Wang, Wen Zhang, Liang Cheng
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引用次数: 7

摘要

提出了一种利用激光雷达数据和正射影像对建筑物屋顶模型进行三维重建的新方法。该方法的主要贡献包括基于三角形聚类的屋顶斑块分割算法和激光雷达数据与正射影像相结合的屋顶斑块脊线提取策略。这个过程由三个步骤组成。首先,利用激光雷达数据构建Delaunay三角网络,并对该三角网络进行基于三角聚类的分割,从该三角网络中分离出屋顶斑块;然后将提取的正射影线与分割的屋顶斑块叠加,提取屋顶的脊线。最后,利用分割的屋顶补丁和提取的脊线重建三维屋顶模型。实验结果表明,该方法能较好地构建建筑物屋顶三维模型,具有较高的正确性、完整性和几何精度。对于试验区1和2重建的三维屋顶模型,正确率分别为86%、90%;完成度分别为85%、88%;定位精度分别为0.39m、0.31m。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A research on 3D reconstruction of building rooftop models from LiDAR data and orthophoto
A new method for 3D reconstruction of building rooftop models from LiDAR data and orthophto is proposed. The main contributions of this method include a triangular cluster - based algorithm for rooftop patch segmentation and a strategy to extract ridge lines of rooftop patches by the integration of LiDAR data and orthophoto. The process consists of a consequence of three steps. Firstly, a Delaunay triangular network is constructed from LiDAR data and a triangular cluster - based segmentation is executed to separate rooftop patches from this triangular network. Ridge lines of rooftops are then extracted by overlaying the extracted lines from orthophoto and the segmented rooftop patches. Finally, 3D rooftop models are reconstructed with the segmented rooftop patches and the extracted ridge lines. The experiment demonstrates that this proposed method can construct 3D building rooftop models with high correctness, completeness and geometric accuracy. For the reconstructed 3D rooftop models in test area 1 and 2, the correctness are 86%, 90%, respectively; the completeness are 85%, 88%, respectively; the positioning precision are 0.39m, 0.31m, respectively.
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