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Filters: Author is Vespe, M.  [Clear All Filters]
2015-05-05
Fernandez Arguedas, V., Pallotta, G., Vespe, M..  2014.  Automatic generation of geographical networks for maritime traffic surveillance. Information Fusion (FUSION), 2014 17th International Conference on. :1-8.

In this paper, an algorithm is proposed to automatically produce hierarchical graph-based representations of maritime shipping lanes extrapolated from historical vessel positioning data. Each shipping lane is generated based on the detection of the vessel behavioural changes and represented in a compact synthetic route composed of the network nodes and route segments. The outcome of the knowledge discovery process is a geographical maritime network that can be used in Maritime Situational Awareness (MSA) applications such as track reconstruction from missing information, situation/destination prediction, and detection of anomalous behaviour. Experimental results are presented, testing the algorithm in a specific scenario of interest, the Dover Strait.