• DocumentCode
    988598
  • Title

    SAR-ocean wave inversion using image cross spectra

  • Author

    Engen, Geir ; Johnsen, Harald

  • Author_Institution
    NORUT Inf. Technol., Tromso, Norway
  • Volume
    33
  • Issue
    4
  • fYear
    1995
  • fDate
    7/1/1995 12:00:00 AM
  • Firstpage
    1047
  • Lastpage
    1056
  • Abstract
    Image cross-spectra obtained by combining pairs of single look SAR images are utilized in an inversion scheme for extracting the underlying ocean wave spectrum. The reasons for proposing the use of image cross-spectra instead of standard multilook spectra are twofold. First, the image cross-spectra are shown to significantly reduce the speckle noise level while preserving the spectral shape. Second, the image cross-spectra provide information about the wave propagation direction. A closed form expression of the ocean-to-SAR spectral transform and its inversion is formulated for the cross-spectral case. The inversion method is based on computing the full derivative of the nonlinear ocean-to-SAR image cross-spectral transform. The SAR image cross-spectra are shown to yield a SNR typically 16-25 dB higher than the corresponding standard 3 look image spectra. The noise level is typically reduced with a factor of 20 compared to the 3 look spectra and a factor of 60 compared to the single look spectra. The inherent information about the wave propagation direction is utilized in the inversion scheme to resolve the 180-degree ambiguity without using any external information. The method is demonstrated on airborne C-band SAR data
  • Keywords
    inverse problems; ocean waves; oceanographic techniques; radar applications; radar imaging; remote sensing; remote sensing by radar; synthetic aperture radar; C-band; SAR; image cross spectra; measurement technique; ocean wave inversion; ocean wave spectrum; propagation direction; radar remote sensing; sea surface; single look SAR image pair; speckle noise; spectral shape; synthetic aperture radar; Closed-form solution; Data mining; Helium; Noise level; Numerical models; Ocean waves; Signal to noise ratio; Speckle; Spectral shape; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.406690
  • Filename
    406690