• DocumentCode
    2686438
  • Title

    Tests of some radar backscatter models with multifrequency, polarimetric SAR data from the 1989 Noordwijk experiment

  • Author

    Macklin, J.T.

  • Author_Institution
    GEC-Marconi Res. Centre, Chelmsford, UK
  • Volume
    4
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    2427
  • Abstract
    Simultaneous images in different frequencies and polarisations were obtained from the NASA/JPL airborne synthetic aperture radar (SAR) at a shallow-water site off the Dutch coast (Noordwijk) in 1989. The properties of the mean backscatter and backscatter statistics are analysed to compare the predictions of a Kirchhoff-based scattering model with Bragg and composite-surface models. The frequency dependence is particularly sensitive to assumptions about the description of the sea-surface roughness. Although the composite-surface model provides the most realistic behaviour of the models tested, the results suggest that models which include the polarisation dependence as a correction to the Kirchhoff model are also appropriate
  • Keywords
    airborne radar; backscatter; electromagnetic wave scattering; oceanographic techniques; radar applications; radar cross-sections; radar imaging; radar polarimetry; remote sensing; remote sensing by radar; synthetic aperture radar; AD 1989; Bragg model; Dutch coast; Holland; JPL airborne radar; Kirchhoff-based scattering model; Noordwijk experiment; North Sea; backscatter; composite-surface model; measurement technique; multifrequency polarimetric SAR; ocean; polarisation; radar backscatter model; radar polarimetry; radar scattering; radiowave reflection; remote sensing; sea surface; sea-surface roughness; synthetic aperture radar; Backscatter; Frequency; NASA; Polarization; Predictive models; Radar imaging; Radar scattering; Statistical analysis; Synthetic aperture radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399759
  • Filename
    399759