• DocumentCode
    143481
  • Title

    Analyzing polarimetric signatures for different features in polarimetric SAR data

  • Author

    Jafari, Mohsen ; Maghsoudi, Yasser ; Zoej, Mohammad Javad Valadan

  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2782
  • Lastpage
    2785
  • Abstract
    The main idea of this research is to provide a graphical representation of various features in polarimetric SAR data. Returned signal from a target contain all polarizations whereas conventional method shows polarimetric information just in a restricted number of polarization bases. More details of physical information are depicted from polarimetric signature according to various polarization bases of target backscattering. Distinct polarization bases separates classes with near backscattering due to its different responses. A Radarsat-2 image, which was acquired in August 2009, was chosen for this study. The backscattering from different classes (Water, Urban, Forest and Ground vegetation) were analyzed by the proposed method. The results illustrate that polarimetric signatures of various features can be an effective tools for analyzing the different classes.
  • Keywords
    backscatter; radar polarimetry; remote sensing by radar; synthetic aperture radar; AD 2009 08; Radarsat-2 image; forest backscattering; graphical data representation; ground vegetation backscattering; polarimetric SAR data; polarimetric signatures; returned signal; target backscattering; urban backscattering; water backscattering; Backscatter; Covariance matrices; Feature extraction; Radar imaging; Radar polarimetry; Vectors; PolSAR data; PolSAR feature; Polarimetric signature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947053
  • Filename
    6947053