• DocumentCode
    1252032
  • Title

    Preservation of Polarimetric Properties Filtering for TSX Data Based on Barnes Decomposition

  • Author

    Li, Hong Zhong ; Chen, Jin Song ; Jiang, Li Ming ; Liu, Lin

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • Volume
    5
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1831
  • Lastpage
    1836
  • Abstract
    A new POLSAR speckle filtering approach is proposed to overcome the disadvantages of SMBF on polarimetric TSX data. Instead of Freeman-Durden decomposition, the new approach applies dichotomy decompositions (Barnes-Holm) to label each pixel by dominant scattering mechanism as single point target scattering or distributed target scattering. Then the unsupervised Wishart classification is applied to determine the adaptive neighborhood. Finally, only the “N-target” component is involved in the filtering step, while the pure single target component is preserved. By experiment on San Francisco multi-look TSX data, it is illustrated that the new method performs better than SMBF in pixel dominant scattering mechanism labeling and preservation of point target polarimetric properties.
  • Keywords
    filtering theory; geophysical signal processing; radar polarimetry; radar signal processing; remote sensing by radar; signal classification; speckle; synthetic aperture radar; Barnes decomposition; Barnes-Holm decomposition; N-target component; POLSAR speckle filtering; SMBF; San Francisco; USA; dichotomy decompositions; distributed target scattering; dominant scattering mechanism; filtering step; multilook TSX data; pixel labelling; polarimetric TSX data; polarimetric properties filtering preservation; single point target scattering; unsupervised Wishart classification; Filtering; Matrix decomposition; Polarimetric synthetic aperture radar; Radar polarimetry; Scattering; Barnes decomposition; SMBF; polarimetric synthetic aperture radar; radar polarimetry;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2012.2205373
  • Filename
    6249773