• DocumentCode
    297599
  • Title

    Partially correlated K-distribution for multi-look polarimetric SAR imagery

  • Author

    Yu, Yongjian ; Torre, Andrea ; Huan, Shunji

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    60
  • Abstract
    A partially correlated polarimetric K-distribution model is presented to characterize statistical properties of multilook polarimetric SAR data from urban areas. The model was derived using a more general matrix form of the product model that uses separate gamma distributed texture variables for different polarization channels and assumes that these texture variables be partially correlated. Experimental assessment of the model was conducted using NASA/JPL polarimetric SAR data from an urban area, showing improvement in better characterizing urban polarimetric backscattering
  • Keywords
    geophysical signal processing; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; K-distribution model; backscattering; general matrix form; geophysical measurement technique; image texture variables; land surface; multi-look polarimetric SAR imagery; multilook polarimetric SAR; partially correlated K-distribution; product model; radar imaging; radar polarimetry; radar remote sensing; statistical properties; terrain mapping; urban area; Backscatter; Covariance matrix; Crops; Layout; Partial response channels; Polarization; Radar scattering; Random variables; Speckle; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516244
  • Filename
    516244