• DocumentCode
    2053084
  • Title

    Calibration of a polarimetric synthetic aperture radar using a known distributed target

  • Author

    Sarabandi, K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • fYear
    1993
  • fDate
    18-21 Aug 1993
  • Firstpage
    968
  • Abstract
    Existing methods for external calibration of polarimetric synthetic aperture radars (SAR) are all based on point calibration targets. The quantity of interest in radar measurement of distributed targets is the backscattering coefficient which is different from the radar cross section (RCS) formulated for point targets. Therefore, in order to infer the backscattering cross section of a distributed target from a point target rigorously, the polarimetric ambiguity function of the SAR is needed. In the paper a calibration algorithm is proposed that circumvents all problems associated with the point target calibration methods. It is shown that the radar distortion parameters and calibration constant can be obtained from a distributed target with known differential Mueller matrix. The distortion parameters are then used to provide the calibrated differential Mueller matrix for the other homogeneous targets in the image. This algorithm is tested for the JPL L- and C-band SAR using four different distributed targets measured with polarimetric scatterometers
  • Keywords
    backscatter; calibration; electromagnetic wave scattering; polarimetry; radar cross-sections; synthetic aperture radar; C-band; L-band; SAR; backscattering coefficient; calibration; differential Mueller matrix; known distributed target; polarimetric ambiguity function; polarimetric synthetic aperture radar; radar distortion parameters; Backscatter; Calibration; Distortion measurement; Polarimetric synthetic aperture radar; Radar cross section; Radar imaging; Radar measurements; Radar polarimetry; Synthetic aperture radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-1240-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1993.322167
  • Filename
    322167