• DocumentCode
    262877
  • Title

    Discovering vessel activities at sea using AIS data: Mapping of fishing footprints

  • Author

    Mazzarella, Fabio ; Vespe, Michele ; Damalas, Dimitrios ; Osio, Giacomo

  • Author_Institution
    Eur. Comm. - Joint Res. Centre (JRC), Ispra, Italy
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Maritime Situational Awareness (MSA), the capability of understanding events, circumstances and activities within and impacting the maritime environment, can be greatly improved by the automatic identification and classification of vessel activity. Enhancing coverage of existing technologies such as Automatic Identification System (AIS) provides the possibility to integrate and enrich services and information already available in the maritime domain. In this paper, we propose a method that automatically extracts knowledge from ship reporting positioning data. In particular, we apply this architecture to the practical scenario of automatically discovering fishing areas based on historical AIS data broadcast by fishing vessels.
  • Keywords
    aquaculture; data mining; fishing industry; marine engineering; AIS; automatic identification system; automatic knowledge extraction; automatic vessel activity classification; automatic vessel activity identification; fishing footprints mapping; maritime environment; maritime situational awareness; positioning data; sea; vessel activity discovery; Clustering algorithms; Data mining; Indium phosphide; Marine vehicles; Noise; Sea measurements; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916045