• DocumentCode
    25616
  • Title

    Volume Scattering Power Constraint Based on the Principal Minors of the Coherency Matrix

  • Author

    Kusano, Shunichi ; Takahashi, Koichi ; Sato, Mitsuhisa

  • Author_Institution
    Grad. Sch. of Environ. Studies, Tohoku Univ., Sendai, Japan
  • Volume
    11
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    361
  • Lastpage
    365
  • Abstract
    This letter proposes a constraint for a volume scattering power employing the principal minors, which can be used for polarimetric synthetic aperture radar (POLSAR) model-based decomposition. This constraint effectively allows for avoiding unreasonable results which yield negative eigenvalues. The proposed constraint is derived so that all the principal minors of the coherency matrix after volume scattering subtraction are nonnegative. Mathematically, the constraint is exactly the same as that based on the nonnegative eigenvalues. Thus, it is guaranteed that the result is physically reasonable and that the volume scattering power is not overestimated. A significant advantage of the proposed method compared to the constraint based on the nonnegative eigenvalues is the high computation efficiency, since the maximal volume scattering power can be derived analytically, while the nonnegative eigenvalue constraint requires a numerical calculation. In our experiment, the computation of the maximal power is six times faster using the approach based on the principal minors than that based on the nonnegative eigenvalues.
  • Keywords
    covariance matrices; eigenvalues and eigenfunctions; matrix decomposition; radar polarimetry; scattering; synthetic aperture radar; POLSAR; coherency matrix; model-based decomposition; nonnegative eigenvalue; polarimetric synthetic aperture radar; principal minor; volume scattering power constraint; Model-based decompositions; nonnegative eigenvalue; polarimetric synthetic aperture radar (POLSAR); positive semidefinite matrix; principal minor;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2258654
  • Filename
    6553363