• DocumentCode
    2134676
  • Title

    Target scattering decomposition of one-look and multi-look SAR data using a new coherent scattering model: the TSVM

  • Author

    Touzi, R.

  • Author_Institution
    Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, Ont., Canada
  • Volume
    4
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    2491
  • Abstract
    A new model, the target scattering vector model (TSVM), is introduced for decomposition of coherent scattering. The model that is inspired from Kennaugh and Huynen [1965] con-diagonalization method, Cameron and the SSCM coherent scattering decomposition [1996] represents coherent scattering of symmetric and non-symmetric targets in term of five independents parameters; the target orientation angle and four orientation invariant target parameters. The TSVM is integrated in Cloude´s incoherent decomposition method to derive a general scattering decomposition method, the TSVM-coherency characteristic decomposition, which can be applied to both single and multi-look SAR data for characterization of point and distributed targets. The conditions requested for a successful application of the TSVM-coherency characteristic decomposition are discussed.
  • Keywords
    remote sensing by radar; synthetic aperture radar; target tracking; TSVM-coherency characteristic decomposition; coherent scattering decomposition; coherent scattering model; con-diagonalization method; distributed targets; general scattering decomposition method; incoherent decomposition method; invariant target parameters; multi-look SAR data; nonsymmetric target coherent scattering; one-look SAR data; point targets; symmetric target coherent scattering; target orientation angle; target scattering decomposition; target scattering vector model; Eigenvalues and eigenfunctions; Entropy; Equations; Matrix decomposition; Phase measurement; Polarization; Remote sensing; Scattering parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369800
  • Filename
    1369800