• DocumentCode
    1368098
  • Title

    Comparison of backscattered signal statistics as derived from indoor scatterometric and SAR experiments

  • Author

    Nesti, Giuseppe ; Fortuny, Joaquim ; Sieber, A.J.

  • Author_Institution
    Joint Res. Centre of the European Commission, Ispra, Italy
  • Volume
    34
  • Issue
    5
  • fYear
    1996
  • fDate
    9/1/1996 12:00:00 AM
  • Firstpage
    1074
  • Lastpage
    1083
  • Abstract
    A comparison between indoor scatterometric and SAR measurements of distributed targets is presented. In particular, the backscattered signal statistics (in amplitude and phase) obtained in these two types of measurements are compared for different surface parameters (roughness and correlation length) and varying spatial resolutions in the SAR images. Experimental data have been taken in the European Microwave Signature Laboratory (EMSL) at JRC, an indoor facility which is able to measure extended targets both in scatterometric and linear SAR mode under the same conditions. The results confirm that, with spatial resolutions in the SAR image smaller than two autocorrelation lengths (ACL), the statistics of the backscattered signal depends significantly on the resolution cell size. For larger resolution cells, the experimental data are consistent with the Rayleigh model. This experimental finding substantially confirms the results based on numerical simulations, previously presented in the literature
  • Keywords
    backscatter; geophysical techniques; radar cross-sections; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR; autocorrelation length; backscatter; distributed target; geophysical measurement technique; indoor observations; land surface; radar imaging; radar remote sensing; radar scattering; resolution cell size; scatterometry; signal statistics; surface parameters; synthetic aperture radar; terrain mapping; Length measurement; Particle measurements; Phase measurement; Radar measurements; Rough surfaces; Signal resolution; Spatial resolution; Statistical distributions; Statistics; Surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.536523
  • Filename
    536523