• DocumentCode
    20784
  • Title

    An Adaptive General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix (AG4U)

  • Author

    Bhattacharya, Avik ; Singh, Gulab ; Manickam, Surendar ; Yamaguchi, Yoshio

  • Author_Institution
    Center of Studies in Resources Eng., Indian Inst. of Technol. Bombay, Mumbai, India
  • Volume
    12
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    2110
  • Lastpage
    2114
  • Abstract
    An adaptive general four-component scattering power decomposition method (AG4U) is proposed in this letter. The degree of polarization mis used as a criterion for the adaptive nature of the proposed decomposition. In this method, one among the two complex special unitary transformation matrices is chosen to transform a real unitary rotated coherency matrix based on the largest value of m. This transformed matrix is then utilized for the existing Yamaguchi et al. four-component decomposition scheme with an extended volume scattering model. The proposed decomposition is applied to Radarsat-2 full-polarimetic C-band data over San Francisco and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) full-polarimetric L-band data over the Hayward Fault in California. The scattering powers estimated from the decomposition techniques of Yamaguchi et al. (Y4O), Singh et al. (G4U), and AG4U are compared. AG4U shows appreciable improvements in the scattering powers, particularly in urban areas oriented about the radar line of sight compared with the Y4O and G4U decompositions. It also shows reduced percentage of pixels with negative powers considerably compared with the Y4O decomposition.
  • Keywords
    S-matrix theory; faulting; geophysical signal processing; radar polarimetry; radar signal processing; synthetic aperture radar; AG4U; California; Hayward Fault; Radarsat-2 full-polarimetic C-band data; San Francisco; UAVSAR; Uninhabited Aerial Vehicle Synthetic Aperture Radar; adaptive general four-component scattering power decomposition; adaptive nature; complex special unitary transformation matrices; extended volume scattering model; full-polarimetric L-band data; polarization; radar line of sight; real unitary rotated coherency matrix; L-band; Matrix decomposition; Remote sensing; Scattering; Solid modeling; Synthetic aperture radar; Decomposition; polarimetry; synthetic aperture radar (SAR); unitary transformation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2015.2451369
  • Filename
    7163560