• DocumentCode
    3061776
  • Title

    Oil platform detection by compact polarimetric synthetic aperture radar

  • Author

    Biao Zhang ; Perrie, William ; Xiaofeng Li ; Pichel, William G. ; Zhongfeng Qiu ; Yijun He

  • Author_Institution
    Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2439
  • Lastpage
    2442
  • Abstract
    We present a innovative physically-based approach to detect oil platforms by using compact polarimetric (CP) synthetic aperture data. We utilize two RADARSAT-2 fine quad-polarization SAR images of Gulf of Mexico to estimate the CP covariance matrix. The resulting CP data is used to reconstruct pseudo quad-polarization covariance matrix. The Stokes parameters are evaluated using the reconstructed pseudo quad-polarization covariance matrix elements. We further calculate the relative phase with two Stokes parameters. The relative phase is a logical scalar descriptor which can be used to detect the oil platforms. The detected oil platforms are validated with ground truth from NOAA. The proposed method provides a simple and effective mapping technique for oil platform detection.
  • Keywords
    covariance matrices; electromagnetic wave polarisation; image reconstruction; offshore installations; phase estimation; radar detection; radar imaging; radar polarimetry; synthetic aperture radar; CP covariance matrix estimation; NOAA; RADARSAT-2 fine quad-polarization SAR image; Stokes parameter evaluation; compact polarimetric synthetic aperture radar; innovative physically-based approach; logical scalar descriptor; mapping technique; oil platform detection; pseudo quad polarization covariance matrix reconstruction; relative phase detection; Covariance matrices; Image reconstruction; Offshore installations; Polarimetry; Scattering; Stokes parameters; Synthetic aperture radar; Compact Polarimetry; Oil platform detection; Relative phase; SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723313
  • Filename
    6723313