• DocumentCode
    51587
  • Title

    Superresolving SAR Tomography for Multidimensional Imaging of Urban Areas: Compressive sensing-based TomoSAR inversion

  • Author

    Xiao Xiang Zhu ; Bamler, Richard

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Germany
  • Volume
    31
  • Issue
    4
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    51
  • Lastpage
    58
  • Abstract
    With reference to the current status of VHR spaceborne tomographic SAR inversion presented in this article, the following conclusions can be drawn: VHR tomographic SAR inversion is able to reconstruct the shape and motion of individual buildings and entire city areas. SR is crucial and possible, e.g., using CS, for VHR tomographic SAR inversion for urban infrastructure. The motion or deformation of buildings is often nonlinear (periodic, accelerating, stepwise, etc.). Multicomponent nonlinear motion of multiple scatterers can be separated. The 4-D point clouds retrieved by VHR TomoSAR has a point density comparable to LiDAR and can be potentially used for dynamic city model reconstruction.
  • Keywords
    compressed sensing; image motion analysis; image reconstruction; radar imaging; radar resolution; synthetic aperture radar; tomography; 4D point clouds; LiDAR; VHR spaceborne tomographic SAR inversion; building deformation; compressive sensing-based TomoSAR inversion; dynamic city model reconstruction; motion reconstruction; multicomponent nonlinear motion; multidimensional imaging; multiple scatterers; point density; shape reconstruction; synthetic aperture radar; urban areas; urban infrastructure; very high spatial resolution SAR tomography; Mathematical model; Signal processing algorithms; Signal resolution; Signal to noise ratio; Synthetic aperture radar; Tomography; Urban areas;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2014.2312098
  • Filename
    6832819