• DocumentCode
    2191582
  • Title

    Study on polarisation ratio for X-band using dual-polarisation Terra-SAR X image

  • Author

    Shao, Weizeng ; Lehner, Susanne ; Guan, Changlong

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3768
  • Lastpage
    3771
  • Abstract
    In this study, we present the analysis of measurements of normalized radar cross section (NRCS) and the polarisation ratio (PR) in dual-polarisation TerraSAR-X (TS-X) images. Based on two PR functions proposed for C-band SAR (denoted as the Thompson model and Elfouhaily model respectively) and the relationship between NRCS and incidence angle for X-band (it is called X-PR), three PR models are tuned using 45 dual-polarisation TS-X images. The PR is found to be dependent of the incidence angle and VV-polarisation NRCS is larger than HH-polarisation NRCS when the incidence angle is larger than 23°. A total of 20 HH-polarisation TS-X images are analyzed for retrieving the wind field using three PR models and XMOD algorithm together. The results are compared to QuikSCAT data and buoy measurements for validation. The root-mean-square error (RMSE) of wind speed is 2.34m/s, 2.16m/s and 1.99m/s with a correlation of 0.82, 0.87 and 0.88 by using Thompson model, Elfouhaily model and X-PR model respectively for the cases.
  • Keywords
    atmospheric techniques; data acquisition; geophysical image processing; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; wind; C-band SAR; Elfouhaily model; HH-polarisation NRCS; QuikSCAT data; RMSE; TS-X image; Thompson model; VV-polarisation NRCS; X-PR model; X-band; XMOD algorithm; buoy measurement; dual-polarisation Terra-SAR X image; dual-polarisation TerraSAR-X image; incidence angle; normalized radar cross section; polarisation ratio; root-mean-square error; wind field retrieval; wind speed; Atmospheric modeling; Data models; Sea measurements; Sea surface; Synthetic aperture radar; Wind speed; TerraSAR-X; XMOD; polarisation ratio; wind field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350497
  • Filename
    6350497