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Three-Dimensional Deformation Monitoring of Urban Infrastructure by Tomographic SAR Using Multitrack TerraSAR-X Data Stacks

机译:使用多轨TerraSAR-X数据集的层析SAR对城市基础设施的三维变形监测

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摘要

Differential synthetic aperture radar tomography (D-TomoSAR), similar to its conventional counterparts such as differential interferometric SAR and persistent scatterer interferometry, is only capable of capturing 1-D deformation along the satellite's line of sight. In this paper, we propose a method based on L1-norm minimization within local spatial cubes to reconstruct 3-D displacement vectors from TomoSAR point clouds available from at least three different viewing geometries. The methodology is applied on two pairs of cross-heading-combination of ascending and descending-TerraSAR-X (TS-X) spotlight image stacks over the city of Berlin. The linear deformation rate and the amplitude of seasonal deformation are decomposed, and the results from two test sites with remarkable deformation pattern are discussed in detail. The results, to our knowledge, demonstrate the first attempt for motion decomposition using TomoSAR data from multiple viewing geometries.
机译:差分合成孔径雷达层析成像(D-TomoSAR)与传统的类似技术(例如差分干涉SAR和持续散射干涉仪)类似,只能捕获沿卫星视线的一维变形。在本文中,我们提出了一种基于L1范数最小化的方法,该方法在局部空间立方体中从至少三个不同的观察几何结构中可用的TomoSAR点云重构3-D位移矢量。该方法适用于柏林市上两对上升和下降的TerraSAR-X(TS-X)聚光灯图像叠的交叉标题组合。分解了线性变形率和季节性变形幅度,并详细讨论了两个具有明显变形模式的测试点的结果。据我们所知,结果证明了使用来自多个观察几何体的TomoSAR数据进行运动分解的首次尝试。

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