• DocumentCode
    484441
  • Title

    Advanced Displacement Estimation for PSI using High Resolution SAR Data

  • Author

    Gernhardt, Stefan ; Hinz, Stefan

  • Author_Institution
    Remote Sensing Technol. (LMF), Tech. Univ. Munchen (TUM), Munich
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The Persistent Scatterer (PS) technique is a well known method for estimating object and/or surface deformation from space with high accuracy and high spatial coverage and sampling by analyzing estimation frameworks generated from stacks of interferograms [1]. It is especially suitable for urban areas which, in general, show a high density of PS to detect movements with a wide area deformation pattern as well as changes within small scales, e.g. subsidence of isolated buildings. The new high resolution class satellites like TerraSAR-X, Radarsat-2 or Cosmo-SkyMed put forth new potentials and challenges as the density of PS increases dramatically. As several PS can be found on one single object like a building or a bridge, a advanced motion estimation for this group of points can be introduced, accounting for the coupled movement. In this paper we show how the estimation can be carried out restricting the movement to certain models we employ in order to increase the accuracy of the displacement for the whole group of PS. The results obtained for the proposed estimation technique are based on simulated data to thoroughly investigate the potentials of this approach. They are the basis for real datasets available from TerraSAR-X.
  • Keywords
    deformation; displacement measurement; geophysical techniques; spaceborne radar; synthetic aperture radar; Cosmo-SkyMed; Persistent Scatterer technique; Radarsat-2; SAR data; TerraSAR-X; advanced displacement estimation; surface deformation; Deformable models; Image edge detection; Image resolution; Motion estimation; Object detection; Radar detection; Radar scattering; Remote sensing; Space technology; Spatial resolution; PSI; TerraSAR-X; advanced estimation; single object observation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779591
  • Filename
    4779591