• DocumentCode
    556984
  • Title

    4-CSPD with unitary transformation of coherency matrix

  • Author

    Singh, Gulab ; Yamaguchi, Yoshio ; Park, Sang-Eun

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Niigata Univ., Niigata, Japan
  • fYear
    2011
  • fDate
    26-30 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This investigation presents an alternative methodology for decomposing the fully polarimetric SAR (POLSAR) data based on the amendment of 4-component scattering power decomposition scheme. T23 is the source of 4th term (helix power) in the 4-CSPD. Using unitary transformations of 3×3 coherency matrix, coherency matrix element T23 was eliminated. Furthermore, 4-CSPD scheme was updated taking account of T23=0 to decompose POLSAR images. This new decomposition methodology shows similar or accurate decomposition results over oriented urban area and agriculture area in comparison to existing 4-CSPD scheme at present.
  • Keywords
    matrix algebra; radar imaging; radar polarimetry; synthetic aperture radar; 4-CSPD scheme; 4-component scattering power decomposition scheme; POLSAR data; POLSAR image decomposition; coherency matrix element; fully polarimetric SAR data decomposition; unitary transformations; Image color analysis; Matrix decomposition; Radar polarimetry; Remote sensing; Scattering; Surface topography; Urban areas; ALOS-PALSAR; Three-component scattering power decomposition; Unitary Transformation; coherency matrix; polarimetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4577-1351-4
  • Type

    conf

  • Filename
    6087039