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|Title:||Discovering Vessel Activities at Sea using AIS Data: Mapping of Fishing Footprints|
|Authors:||MAZZARELLA FABIO; VESPE MICHELE; DAMALAS DIMITRIOS; OSIO GIACOMO CHATO|
|Citation:||FUSION 2014 17th International Conference on Information Fusion p. 1-7|
|Publisher:||IEEE (Institute of Electrical and Electronics Engineer)|
|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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