• DocumentCode
    2223786
  • Title

    Estimation of ocean wave heights from temporal sequences of X-Band marine radar images

  • Author

    Nieto-Borge, J.C. ; Jarabo-Amores, P. ; de la Mata-Moya, D. ; Lopez-Ferreras, F.

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. de Alcala, Alcala de Henares, Spain
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Marine radars scan the water surface at grazing incidence with HH polarization. Unlike other remote sensing systems, marine radars cover smaller areas, but these sensors are able to obtain short-term temporal information about wave fields using consecutive antenna rotations. This work deals with a method to estimate the significant wave height from sea clutter image time series. This method is based on similar techniques developed for Synthetic Aperture Radar (SAR) systems. The basic idea is the significant wave height is linearly dependent on the root square of the signal-noise ratio, where the signal is assumed as the radar analysis estimation of the wave spectral energy and the noise is computed as the energy due to the sea surface roughness.
  • Keywords
    noise; ocean waves; oceanographic techniques; radar antennas; radar clutter; radar imaging; radar polarimetry; remote sensing by radar; sea level; synthetic aperture radar; time series; HH polarization; X-band marine radar images; consecutive antenna rotations; grazing incidence; ocean wave height estimation; radar analysis estimation; remote sensing systems; sea clutter image time series; sea surface roughness; short-term temporal information; signal-noise ratio; synthetic aperture radar systems; temporal sequences; water surface; wave fields; wave spectral energy; Abstracts; Antenna measurements; Antennas; Estimation; Radar; Sea measurements; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071572