• DocumentCode
    1484916
  • Title

    Determination of ocean wave propagation direction by split-look processing using JERS-1 SAR data

  • Author

    Ouchi, Kazuo ; Maedoi, Shoji ; Mitsuyasu, Hisashi

  • Author_Institution
    Fact. of Environ. Studies, Hiroshima Inst. of Technol., Japan
  • Volume
    37
  • Issue
    2
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    849
  • Lastpage
    855
  • Abstract
    The purpose of the present article is to show that the JERS-1 synthetic aperture radar (SAR), primarily designed for global land observation, can be applied to deriving ocean wave spectra and determining the wave propagation direction. Split-look (multilook) processing is used to produce a sequence of individual sub-images of ocean waves. This processing technique has an inherent property that the successive sub-images are formed at different discretely delayed times. Wave propagation direction can, therefore, be determined from a pair of wave images in different looks. The L-band JERS-1 SAR, despite its low signal-to-noise ratio, has an advantage over C-band spaceborne SARs for having a longer integration time, suitable for the wave analysis using split-look processing. Several different methods are applied to the wave data collected near the coasts of Japan, including the methods of look sum (taking the standard Fourier spectrum of look-summed image), spectral sum, spectral phase shift, and cross-correlation function of sub-images
  • Keywords
    ocean waves; oceanographic techniques; remote sensing by radar; spaceborne radar; synthetic aperture radar; C-band; JERS-1; L-band; SAR; SHF; UHF; cross-correlation function; frequency distribution; look sum; multilook; ocean wave; ocean wave spectra; propagation direction; radar remote sensing; spaceborne radar; spectral phase shift; spectral sum; split-look processing; synthetic aperture radar; wave propagation direction; Atmospheric waves; Filters; Hyperspectral imaging; Hyperspectral sensors; Linear regression; Ocean waves; Remote sensing; Spectral analysis; Vectors; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.752202
  • Filename
    752202