• DocumentCode
    670150
  • Title

    Reduction of polarization parameters of measured coherency matrix by unitary transformations

  • Author

    Ning Cao ; Lamei Zhang ; Bin Zou

  • Author_Institution
    Sch. of Electron. & Inf. Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    23-27 Sept. 2013
  • Firstpage
    567
  • Lastpage
    570
  • Abstract
    In this paper, four unitary transformations based on coherency matrix have been proposed, which are ellipticity angle transformation, quasi-ellipticity angle transformation,, absolute phase transformation and quasi-absolute phase transformation. These four proposed unitary transformations can eliminate [T13], Re[T13], Im[T12] and Re[T12], respectively. With the supplement of the proposed four decomposition methods, there exist six angle rotation methods that can be selected to eliminate the corresponding six non-diagonal elements of the coherency matrix. It has also been found that element T33 is reduced after the rotation of ellipticity angle and quasi-ellipticity angle. Therefore, these two corresponding unitary transformations can be used in polarimetric decomposition theorem to discriminate urban blocks and vegetation. Taking ellipticity angle transformation as an example, the results of the experiment confirmed the characteristics of the proposed unitary transformations.
  • Keywords
    geophysical techniques; phase transformations; polarimetry; polarisation; vegetation; decomposition methods; measured coherency matrix; polarimetric decomposition theorem; polarization parameter reduction; quasiabsolute phase transformation; quasiellipticity angle rotation; quasiellipticity angle transformation; six angle rotation methods; six nondiagonal element elimination; unitary transformation characteristics; urban block discrimination; vegetation discrimination; Educational institutions; Matrix decomposition; Polarization; Remote sensing; Synthetic aperture radar; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
  • Conference_Location
    Tsukuba
  • Type

    conf

  • Filename
    6705146