• DocumentCode
    2600201
  • Title

    Internal wave parameters retrieval from SAR image: based on EMD filter and parameterized buoyancy frequency

  • Author

    Li Fei ; Chong Jonsong ; Ouyang Yue

  • Author_Institution
    Chinese Acad. of Sci., Beijing
  • fYear
    2007
  • fDate
    5-9 Nov. 2007
  • Firstpage
    766
  • Lastpage
    769
  • Abstract
    Synthetic aperture radar (SAR) is a most useful instrument of internal waves (IWs) observation and study for its high resolution and all-weather remote sensing capability. Generally by combining the IWs hydrodynamic model and SAR image of internal wave mechanism we can retrieve the wavelength, amplitude and phase speed of IWs from SAR image. The mostly used method for this retrieve is the two-layer KdV theory which uses a two density invariable ocean fluid layer to simulate the actually continues stratified ocean fluid profile. This approximation works well for most of the shallow water but sometimes it will cause a significant error especially when the ocean stratification is weak. We propose the retrieve method based on EMD filter and parameterized buoyancy frequency for this condition.
  • Keywords
    filtering theory; hydrodynamics; ocean waves; oceanographic techniques; radar imaging; synthetic aperture radar; EMD filter; SAR image; empirical mode decomposition; hydrodynamic model; internal wave parameters retrieval; ocean internal wave; parameterized buoyancy frequency; remote sensing; synthetic aperture radar; Backscatter; Filters; Frequency; Image retrieval; Oceans; Radar imaging; Sea surface; Surface topography; Surface waves; Synthetic aperture radar; Empirical Mode Decomposition; Parameterized Buoyancy Frequency; SAR; Two-layer KdV Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-1188-7
  • Electronic_ISBN
    978-1-4244-1188-7
  • Type

    conf

  • DOI
    10.1109/APSAR.2007.4418723
  • Filename
    4418723