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A research on 3D reconstruction of building rooftop models from LiDAR data and orthophoto

机译:利用LiDAR数据和正射影像对建筑物屋顶模型进行3D重建的研究

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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.
机译:提出了一种基于LiDAR数据和正射影像的3D重建建筑屋顶模型的新方法。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,以及通过整合LiDAR数据和正射影像提取屋顶斑块的脊线的策略。该过程包括三个步骤的结果。首先,根据LiDAR数据构建Delaunay三角网络,并执行基于三角簇的分段,以将屋顶斑块与该三角网络分开。然后,通过叠加从正射影像和分段的屋顶斑块中提取的线条,来提取屋顶的山脊线。最后,使用分段的屋顶补丁和提取的山脊线重建3D屋顶模型。实验表明,该方法可以构建具有较高正确性,完整性和几何精度的3D建筑屋顶模型。对于在测试区域1和2中重建的3D屋顶模型,正确性分别为86%和90%。完整性分别为85%,88%;定位精度分别为0.39m和0.31m。

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