• DocumentCode
    1368122
  • Title

    Radiometric slope correction of synthetic-aperture radar images

  • Author

    Ulander, Lars M H

  • Author_Institution
    Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    34
  • Issue
    5
  • fYear
    1996
  • fDate
    9/1/1996 12:00:00 AM
  • Firstpage
    1115
  • Lastpage
    1122
  • Abstract
    The brightness in a SAR image is affected by topographic height variations due to (1) the projection between ground and image coordinates, and (2) variations in backscattering coefficient with the local scattering geometry. This paper derives a new equation for (1), i.e. the radiometric slope correction, based on a calibration equation which is invariant under a coordinate transformation. An algorithm is described to obtain the slope correction from a SAR interferogram, which also enables retrieval of the full scattering geometry. Since the SAR image and interferogram are derived from the same data set, there is no need to match the image with the calibration data. There is also no need for phase unwrapping since the algorithm only uses the fringe frequencies. A maximum-likelihood estimator for the fringe frequency is analyzed and the algorithm is illustrated by processing ERS-1 SAR data. The example demonstrates that the spatial resolution and calibration error are adequate for most applications
  • Keywords
    geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR; algorithm; calibration equation; fringe frequencies; geophysical measurement technique; land surface; maximum-likelihood estimator; radar imaging; radar remote sensing; radiometric slope correction; spaceborne radar; synthetic aperture radar image; terrain mapping; topographic height variation; Backscatter; Brightness; Calibration; Equations; Frequency estimation; Geometry; Maximum likelihood estimation; Radar imaging; Radar scattering; Radiometry;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.536527
  • Filename
    536527