• DocumentCode
    1985785
  • Title

    The Turbulent Wake Detection and Beam Estimation of a Ship in SAR Images

  • Author

    Chen, Jie ; Chen, Biao ; Yang, Jifeng

  • Author_Institution
    Xi´´an Res. Inst. Of Hi-Tech, Xi´´an
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    Synthetic aperture radar (SAR) images of sea surface often reveal ship wakes, which appear in the form of bright and dark streaks. The bright streaks are always attributed to the Kelvin wake and bright narrow V-wake, and the dark ones are always to the turbulent wake. In some SAR images the Kelvin wakes and the bright V-wakes are distinct and there are plenty of papers have discussed on the detection of them. But in some other SAR images the turbulent wakes are more obvious. The present work deals with the turbulent wakes of the ships, proposed a method called ellipse normalize-Radon transform to detect the dark lines of the turbulent wake. Once the turbulent wake is detected, the ship beam is estimated by a semi-empirical relation between the ship and the width of the turbulent wake in SAR images and the ship beam developed by Greory Zilman. The experiment results demonstrate that this algorithmpsilas robustness in the presence of noise, as well as its ability to detect the turbulent wake and estimate the beam of a ship.
  • Keywords
    Radon transforms; marine radar; radar detection; radar imaging; ships; synthetic aperture radar; SAR image; beam estimation; dark line detection; ellipse normalize-Radon transform; sea surface image; ship; synthetic aperture radar; turbulent wake detection; Educational technology; Filter bank; Frequency; Kelvin; Marine technology; Marine vehicles; Radar detection; Sea surface; Synthetic aperture radar; Wavelet transforms; ellipse normalize-Radon transform; ship beam; synthetic aperture radar (SAR); turbulent wake;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.157
  • Filename
    5070140