Title: Automatic Generation of Geographical Networks for Maritime Traffic Surveillance
Authors: FERNANDEZ ARGUEDAS VIRGINIAPALLOTTA GiulianaVESPE MICHELE
Citation: FUSION 2014 17th International Conference on Information Fusion
Publisher: IEEE (Institute of Electrical and Electronics Engineer)
Publication Year: 2014
JRC N°: JRC89605
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6915990
http://publications.jrc.ec.europa.eu/repository/handle/JRC89605
Type: Articles in periodicals and books
Abstract: 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 vessels 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.
JRC Directorate:Space, Security and Migration

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