• DocumentCode
    1882775
  • Title

    Four-component scattering power decomposition using coherency matrix

  • Author

    Yamaguchi, Yoshio

  • Author_Institution
    Niigata Univ., Niigata, Japan
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    1044
  • Lastpage
    1047
  • Abstract
    In this tutorial presentation, model-based scattering power decompositions for fully polarimetric SAR data analysis are reviewed, and a relevant four-component scattering power decomposition scheme is presented. Although the method is still not perfect, it provides us with intuitive imaging results by RGB color-coding based on the physical scattering mechanisms. By using a rotation of the coherency matrix to minimize the cross-polarized component, the result of the four-component decomposition becomes more significant with simple and easy calculation. It is shown that oriented urban areas or man-made structures are clearly distinguished from volume scattering as double bounce objects.
  • Keywords
    image colour analysis; radar imaging; synthetic aperture radar; RGB color coding; coherency matrix; double bounce objects; four component scattering power decomposition; intuitive imaging; physical scattering; polarimetric SAR data analysis; volume scattering; Covariance matrix; Imaging; Matrix converters; Matrix decomposition; Radar imaging; Scattering; polarimetry; scattering power decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049374
  • Filename
    6049374