Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction

@article{Pallotta2013VesselPK,
  title={Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction},
  author={Giuliana Pallotta and Michele Vespe and Karna Bryan},
  journal={Entropy},
  year={2013},
  volume={15},
  pages={2218-2245}
}
Understanding maritime traffic patterns is key to Maritime Situational Awareness applications, in particular, to classify and predict activities. Facilitated by the recent build-up of terrestrial networks and satellite constellations of Automatic Identification System (AIS) receivers, ship movement information is becoming increasingly available, both in coastal areas and open waters. The resulting amount of information is increasingly overwhelming to human operators, requiring the aid of… 
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