Facade Reconstruction Using Multiview Spaceborne TomoSAR Point Clouds
Facade Reconstruction Using Multiview Spaceborne TomoSAR Point Clouds
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DOI：
10.1109/tgrs.2013.2273619
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发表时间：
2014-06
影响因子：
8.2
通讯作者：
Xiaoxiang Zhu;M. Shahzad
中科院分区：
文献类型：
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作者：
Xiaoxiang Zhu;M. Shahzad
最近的进展非常高分辨率层析合成孔径雷达反演（TomoSAR）使用多个数据堆栈从不同的视角，使我们能够生成4-D（时空）点云的照明区域从空间与点密度激光雷达。它们可以潜在地用于城市环境中的立面重建和变形监测。在本文中，我们首次尝试从这类数据中重建立面：首先利用投影到地平面上的点的密度估计提取立面区域，然后利用方向分析、表面聚类和空间聚类等方法将提取的立面点聚类为独立的立面，进一步估计分割的建筑物立面的（平的或弯曲的）模型参数，确定相邻立面的交点等几何图元，完成重建过程。所提出的方法进行了说明和验证的例子，使用TomoSAR点云生成堆栈的TerraSAR-X高分辨率聚束图像从两个视角，即，上升轨道和下降轨道。所提出的方法的性能进行了系统的分析。为了探索可能的应用，我们细化每个原始TomoSAR点的仰角估计，通过使用其更准确的方位角和距离坐标和相应的重建建筑物立面模型。与原始TomoSAR点云相比，实现了显著提高的高程定位精度。最后，给出了重建的4-D城市模型的第一个例子。
Recent advances in very high resolution tomographic synthetic aperture radar inversion (TomoSAR) using multiple data stacks from different viewing angles enables us to generate 4-D (space-time) point clouds of the illuminated area from space with a point density comparable to LiDAR. They can be potentially used for facade reconstruction and deformation monitoring in urban environment. In this paper, we present the first attempt to reconstruct facades from this class of data: First, the facade region is extracted using the density estimates of the points projected to the ground plane, the extracted facade points are then clustered into individual facades by means of orientation analysis, surface (flat or curved) model parameters of the segmented building facades are further estimated, and the geometric primitives such as intersection points of the adjacent facades are determined to complete the reconstruction process. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated from stacks of TerraSAR-X high-resolution spotlight images from two viewing angles, i.e., both ascending and descending orbits. The performance of the proposed approach is systematically analyzed. To explore the possible applications, we refine the elevation estimate of each raw TomoSAR point by using its more accurate azimuth and range coordinates and the corresponding reconstructed building facade model. Compared to the raw TomoSAR point clouds, significantly improved elevation positioning accuracy is achieved. Finally, a first example of the reconstructed 4-D city model is presented.