利用目标区域拓扑关系图提取建筑物点云

以激光点云数据和倾斜多视影像为研究对象，提出了一种结合机载点云、地面点云及倾斜多视纹理的融合多源特征的建筑物三维模型重建方法。该方法结合点云面元以及影像边界特征，利用倾斜影像的线特征对顶面及立面模型进行边界规则约束，实现了面元自动拓扑重建；通过交互编辑完成不同复杂程度的建筑模型重建，并对模型进行纹理映射。实验结果表明，该方法能够有效提升城市建筑物三维模型重建的效率和边界精度，为利用多源数据的空地联合建筑物三维精细重建提供了一套切实可行的解决方案。

Building Points Detection from Airborne LiDAR Point Clouds Using Topological Relationship Graph Within Each Object Region

Taking laser point cloud data and multi-view airborne oblique images as studying objects, an approach by integrating multi-source feature from airborne point cloud, ground laser point cloud and multiview airborne oblique images is proposed for building model reconstruction. Based on the combination of planar surface from point cloud segmentation and edge line extracted from images, the shape of the roof and façade model is refined utilizing the image lines as boundary constraints.Then the reconstruction process is implemented through the automatic topological optimization, necessary interactive editing and the final texture mapping. Compared with the manual and automatic reconstruction methods, the experiment result shows that this method can effectively improve the reliability of 3D model reconstruction of urban buildings, and provides a feasible solution for detailed building reconstruction using multi-source data.