• DocumentCode
    3381561
  • Title

    Assimilation of D-InSAR and sub-pixel image correlation displacement measurements for coseismic fault parameter estimation

  • Author

    Yan, Y. ; Trouvé, E. ; Bisserier, A. ; Mauris, G. ; Galichet, S. ; Pinel, V. ; Pathier, E.

  • Author_Institution
    LISTIC, Univ. de Savoie, Annecy-le-Vieux, France
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3664
  • Lastpage
    3667
  • Abstract
    In this paper, 2 data fusion strategies from SAR images are investigated through application to measurement of displacement field due to the Kashmir earthquake (Mw=7.6, 2005). Firstly, the 3D displacement field at the Earth´s surface is retrieved by a linear inversion, using the measurements from sub-pixel image correlation and differential interferometry. In addition to the generalized least square method, a fuzzy approach is applied to represent the measurement uncertainty. Secondly, the geometry of the fault is optimized by a non linear inversion, using the same measurements. The inter-comparisons between strategies and approaches are performed in order to highlight the advantages and disadvantages of each strategy and approach.
  • Keywords
    correlation methods; displacement measurement; earthquakes; faulting; geophysical image processing; least squares approximations; parameter estimation; radar imaging; radar interferometry; sensor fusion; synthetic aperture radar; 3D displacement field; D-INSAR assimilation; Earth surface; Kashmir earthquake; SAR images; coseismic fault parameter estimation; data fusion strategy; differential interferometry; displacement field measurement; fuzzy approach; least square method; measurement uncertainty; nonlinear inversion; subpixel image correlation displacement measurement; Correlation; Displacement measurement; Earthquakes; Geophysical measurements; Joints; Three dimensional displays; Uncertainty; displacement measurement; fusion strategy; fuzzy approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654408
  • Filename
    5654408