• DocumentCode
    36603
  • Title

    Comparison of Nonnegative Eigenvalue Decompositions With and Without Reflection Symmetry Assumptions

  • Author

    Chunle Wang ; Weidong Yu ; Wang, Ruiqi ; Yunkai Deng ; Fengjun Zhao

  • Author_Institution
    Dept. of Space Microwave Remote Sensing Syst., Inst. of Electron., Beijing, China
  • Volume
    52
  • Issue
    4
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    2278
  • Lastpage
    2287
  • Abstract
    Nonnegative eigenvalue decomposition (NNED), which insists and guarantees that each decomposed scattering component corresponds to a physically realizable scatterer, is powerful for polarimetric synthetic aperture radar (SAR) images analysis. Previous NNED is mainly illustrated under the reflection symmetric condition. In this paper, the coherency matrix approach is derived to implement the NNED for the nonreflection symmetry scattering case. We explicitly show the diversifications of the decomposition results between NNED with and without reflection symmetry assumptions, and quantitatively analyze the differences between them using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area in Germany.
  • Keywords
    radar imaging; synthetic aperture radar; E-SAR polarimetric data; Germany; Oberpfaffenhofen area; coherency matrix approach; decomposed scattering component; nonnegative eigenvalue decompositions; nonreflection symmetry scattering; physically realizable scatterer; polarimetric SAR images analysis; reflection symmetric condition; reflection symmetry assumptions; synthetic aperture radar; Adaptation models; Covariance matrices; Eigenvalues and eigenfunctions; Matrix decomposition; Scattering; Solid modeling; Synthetic aperture radar; Coherency matrix; model-based decomposition; radar polarimetry; scattering mechanisms;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2259177
  • Filename
    6558781