• DocumentCode
    3204236
  • Title

    Ship feature extraction from maritime radar data

  • Author

    de Stefani, F. ; Bottalico, S. ; Pinizzotto, A.

  • Author_Institution
    Alenia Un Azienda Finmeccanica, Rome, Italy
  • fYear
    1997
  • fDate
    14-16 Oct 1997
  • Firstpage
    454
  • Lastpage
    457
  • Abstract
    In large harbours and long channels where congested traffic and critical weather are present, VTS (vessel traffic service) systems are needed for traffic management and control. The requirements for these systems become more and more demanding because of the continuous increase of traffic and adverse meteorological conditions; reliable systems which can help the operators to avoid accidents which can jeopardise the security of people and goods have to be used to increase safety and efficiency. These systems employ mainly radar sensors, suitably placed in order to have a complete coverage of the area to be controlled, because a 24-hours operation in all weather conditions must be assured. In this paper a new methodology to process digitised radar images to extract object features (size, heading, etc.) is presented. Considering that ships arriving to, or departing from, harbours are big objects moving in narrow channels or waterways, information such as length and bow position are fundamental to control the ship movements, to evaluate the distance between two vessels, or between the vessel and fixed objects such as buoys or wharves. Results of extensive measurement campaign carried out in Naples, Leghorn and Genoa harbours are reported
  • Keywords
    feature extraction; Genoa harbour; Leghorn harbour; Naples harbour; bow position; buoys; channels; digitised radar images; harbours; length; maritime radar data; object features; radar sensors; ship feature extraction; traffic management; vessel traffic service; waterway; wharves;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar 97 (Conf. Publ. No. 449)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-698-9
  • Type

    conf

  • DOI
    10.1049/cp:19971716
  • Filename
    629201