• DocumentCode
    2090016
  • Title

    Ship wake detection in SAR images: a segmentation-based approach

  • Author

    Sciotti, Massimo ; Capecchi, Giancarlo ; Lombardo, Pierfrancesco

  • Author_Institution
    Dept. INFOCOM, Univ. of Rome "La Sapienza", Italy
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    110
  • Abstract
    This paper deals with the derivation of a fully automatic and reliable ship wake detector (SWD), which can operate in conjunction with a ship detector scheme (SD) for ship traffic control against non-homogeneous sea background in SAR images. A novel segmentation-based technique is introduced for ship wake detection, which overcomes the drawbacks suffered by standard techniques operating in non-homogeneous background. This is composed of a preliminary segmentation stage to extract context information, followed by a modified wake detector. The new SWD scheme is shown to yield a large performance improvement on both simulated and real SAR data.
  • Keywords
    image segmentation; marine radar; ocean waves; oceanographic techniques; radar detection; radar imaging; remote sensing by radar; ships; synthetic aperture radar; wakes; SAR; boat; image segmentation; ocean; ocean wave; radar detection; radar imaging; radar remote sensing; sea surface; ship; ship wake detector; shipping industry; synthetic aperture radar; traffic control; wake detection; Computer vision; Data mining; Detectors; Image segmentation; Image sensors; Marine vehicles; Motion detection; Robust control; Sensor phenomena and characterization; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1024957
  • Filename
    1024957