• DocumentCode
    2230018
  • Title

    Volume scattering power restriction based on correlation coefficients for polarimetric SAR model-based decompositions

  • Author

    Kusano, Shunichi ; Papathanassiou, Konstantinos P. ; Sato, Motoyuki

  • Author_Institution
    Grad. Sch. of Environ. Studies, Tohoku Univ., Sendai, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5896
  • Lastpage
    5898
  • Abstract
    A validation method for polarimetric SAR model-based decompositions is proposed based on correlation coefficients between polarizations. The correlation coefficient is examined if it ranges from 0 to 1 for covariance matrices after the subtraction of volumetric scattering components. The three combinations of the polarizations seen in covariance matrices are examined. It is confirmed that, in general, the condition above is not held, which clarifies the overestimate of volume scattering, even though conventional procedures take negative powers into account. Furthermore, the possible maximal power of volume scattering is estimated by employing the condition as a constraint. The constraint by correlation coefficients is a part of the one by nonnegative eigenvalues. In order to equalize them, the third-order principal minor, that is the determinant in the case of 3*3 matrices, must be considered. Finally, the possible maximal power, equal to the one derived from the constraint by nonnegative eigenvalues, can be derived analytically, while that is estimated numerically for the case of nonnegative eigenvalues.
  • Keywords
    correlation theory; covariance matrices; eigenvalues and eigenfunctions; electromagnetic wave polarisation; electromagnetic wave scattering; radar polarimetry; synthetic aperture radar; correlation coefficient; covariance matrix; nonnegative eigenvalue; polarimetric SAR model-based decomposition; polarization; volume scattering power restriction; Correlation; Eigenvalues and eigenfunctions; Matrix decomposition; Scattering; Solid modeling; Synthetic aperture radar; Correlation coefficient; Nonnegative eigenvalue; polarimetric SAR model-based decompositions; positive semidefinite;
  • 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.2012.6352267
  • Filename
    6352267