Title: Discovering Vessel Activities at Sea using AIS Data: Mapping of Fishing Footprints
Authors: MAZZARELLA FABIOVESPE MICHELEDAMALAS DIMITRIOSOSIO GIACOMO CHATO
Citation: FUSION 2014 17th International Conference on Information Fusion p. 1-7
Publisher: IEEE (Institute of Electrical and Electronics Engineer)
Publication Year: 2014
JRC N°: JRC89602
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6916045
http://publications.jrc.ec.europa.eu/repository/handle/JRC89602
Type: Articles in periodicals and books
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 (both coastal and space-based) AIS data broadcast by fishing vessels.
JRC Directorate:Space, Security and Migration

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