• DocumentCode
    291662
  • Title

    Using cross-image spectra in a SAR ocean wave inversion scheme

  • Author

    Engen, Geir ; Johnsen, Harald ; Korsbakken, Erik

  • Author_Institution
    NORUT Inf. Technol. Ltd., Tromso, Norway
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1275
  • Abstract
    Cross-image spectra obtained by combining two single look SAR images are utilized in an inversion scheme for extracting the underlying ocean wave spectrum. The cross-image spectra are shown to significantly reduce the speckle noise level while preserving the spectral shape. The SAR cross-image spectra are shown to yield a SNR typically 5 to 8 dB higher than the corresponding standard 3 look image spectra. The noise level is typically reduced with a factor of 2 compared to the 3 look spectra and a factor of 6 compared to the single look spectra. A closed form expression of the ocean-to-SAR spectral transform and its inversion is formulated for the cross-image case. The inherent informations about the wave propagation direction are utilized in the inversion scheme to resolve the 180 degree ambiguity without using any external informations. The method is demonstrated on airborne C-band SAR data
  • Keywords
    geophysical signal processing; image sequences; inverse problems; ocean waves; oceanographic techniques; radar applications; radar imaging; radar signal processing; remote sensing; remote sensing by radar; synthetic aperture radar; C-band; SAR; SAR images; SAR method; SNR; cross-image spectra; image combination; inverse problem; inversion scheme; measurement technique; ocean wave; radar imaging; radar remote sensing; sea surface; signal processing; speckle noise level; synthetic aperture radar; Closed-form solution; Information technology; Noise level; Numerical models; Ocean waves; Sea surface; Signal to noise ratio; Speckle; Spectral shape; White noise;
  • 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.1994.399415
  • Filename
    399415