• DocumentCode
    576386
  • Title

    Retrieval of internal wave signatures from marine radar data

  • Author

    Lund, Björn ; Xue, Jingshuang ; Romeiser, Roland ; Graber, Hans C.

  • Author_Institution
    RSMAS-AMP, Univ. of Miami, Miami, FL, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7643
  • Lastpage
    7646
  • Abstract
    In this paper we study the retrieval of internal wave (IW) signatures from marine radar data. In a first step, IW packet characteristics are determined, which are used to enhance the IW signal by temporal averaging. The IW-enhanced images are then channeled into our IW signature retrieval algorithm, where we employ localized Radon transform techniques to trace the signatures of each individual soliton. From the resulting IW soliton maps, one can easily extract parameters such as wavelength, velocity, and curvature for each soliton. During the Non-Linear Internal Wave Initiative 2006, R/V Oceanus was tracking IWs as they propagated across New Jersey´s continental shelf. Our tool provides a first means of studying the spatio-temporal evolution of IW surface signatures as the underlying wave grows and subsequently decays.
  • Keywords
    Radon transforms; geophysical image processing; image retrieval; ocean waves; oceanographic techniques; solitons; New Jersey continental shelf; R/V Oceanus; USA; internal wave packet characteristics; internal wave signal; internal wave signature retrieval algorithm; internal wave soliton maps; internal wave surface signatures; internal wave-enhanced images; localized Radon transform techniques; marine radar data; nonlinear internal wave initiative 2006; spatiotemporal evolution; temporal averaging; Backscatter; Radar imaging; Solitons; Spaceborne radar; Synthetic aperture radar; Transforms; Marine radar; internal waves; sea surface signatures; signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351857
  • Filename
    6351857