• DocumentCode
    2195328
  • Title

    Parameter estimation for distributed scatterers using high resolution SAR data

  • Author

    Goel, Kanika ; Adam, Nico

  • Author_Institution
    Remote Sensing Technol. Inst. (IMF), German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3592
  • Lastpage
    3595
  • Abstract
    In this paper, a new approach is introduced for deformation monitoring with a focus on distributed scatterers (DSs), wherein, there is no need to unwrap the differential interferograms and the deformation is mapped at object resolution. It is based on a robust object adaptive parameter estimation using single look differential interferograms, where, the local tilts of deformation velocity and local slopes of residual DEM in range and azimuth directions are estimated. A 2D-model deformation integration is then performed using Bayesian inference to get the absolute deformation. This paper presents the technical details and a processing example of this newly developed algorithm using high resolution spotlight TerraSAR-X data of Lueneburg in Germany.
  • Keywords
    parameter estimation; radar signal processing; synthetic aperture radar; Bayesian inference; TerraSAR-X data; absolute deformation; azimuth directions; deformation monitoring; distributed scatterers; high resolution SAR data; parameter estimation; residual DEM; Azimuth; Bayesian methods; Cities and towns; Decision support systems; Deformable models; Estimation; Parameter estimation; Bayesian Inference; Differential SAR Interferometry; Distributed Scatterer (DS); Small Baseline Subset Algorithm (SBAS); TerraSAR-X;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350640
  • Filename
    6350640