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.     «

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...     »

3D displacement vector, 3D urban infrastructure deformation monitoring, ascending-TerraSAR-X spotlight image stack, Berlin city, D-TomoSAR, descending-TerraSAR-X spotlight image stack, differential interferometric SAR, Differential SAR tomography (D-TomoSAR), differential synthetic aperture radar tomography, environmental monitoring (geophysics), geodetic point cloud fusion, Geometry, geomorphology, geophysical image processing, Germany, L1-norm minimization, motion decomposition, multitrack TerraSAR-X data stack, persistent scatterer interferometry, Remote sensing, remote sensing by radar, Satellites, Synthetic aperture radar, synthetic aperture radar (SAR), Three-dimensional displays, tomographic SAR, tomography, TomoSAR data, TomoSAR point cloud, Urban areas     «

3D displacement vector, 3D urban infrastructure deformation monitoring, ascending-TerraSAR-X spotlight image stack, Berlin city, D-TomoSAR, descending-TerraSAR-X spotlight image stack, differential interferometric SAR, Differential SAR tomography (D-TomoSAR), differential synthetic aperture radar tomography, environmental monitoring (geophysics), geodetic point cloud fusion, Geometry, geomorphology, geophysical image processing, Germany, L1-norm minimization, motion decomposition, multitrack Ter...     »