• DocumentCode
    1798659
  • Title

    An improved three-component model-based decomposition for polarimetric SAR data

  • Author

    Bo Chen ; Licheng Jiao ; Shuang Zhang

  • Author_Institution
    Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    7-9 July 2014
  • Firstpage
    419
  • Lastpage
    422
  • Abstract
    An improved three-component model-based scattering decomposition method by implementing the new volume scattering model for the polarimetric SAR image is presented in this paper. The modified volume model which is suit for the target decomposition of PolSAR data is used in the proposed method aiming to reduce the emergence of negative powers in the Freeman decomposition. The experimental results of NASA/JPL AIRSAR L-band and CSA Radarsat-2 C-band data on San Francisco illustrate that the proposed method can effectively reduce the number of negative powers, which demonstrate the effectiveness of the proposed method on PolSAR data.
  • Keywords
    electromagnetic wave polarisation; electromagnetic wave scattering; radar imaging; radar polarimetry; CSA Radarsat-2 C-band; Freeman decomposition; NASA/JPL AIRSAR L-band; PolSAR data; San Francisco; polarimetric SAR data; polarimetric SAR image; three-component model-based scattering decomposition method; Data models; Entropy; Matrix decomposition; Remote sensing; Scattering; Solid modeling; Synthetic aperture radar; Polarimetric synthetic aperture radar (PolSAR); radar polarimetry; scattering power decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3902-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2014.7009828
  • Filename
    7009828