DocumentCode
262877
Title
Discovering vessel activities at sea using AIS data: Mapping of fishing footprints
Author
Mazzarella, Fabio ; Vespe, Michele ; Damalas, Dimitrios ; Osio, Giacomo
Author_Institution
Eur. Comm. - Joint Res. Centre (JRC), Ispra, Italy
fYear
2014
fDate
7-10 July 2014
Firstpage
1
Lastpage
7
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 AIS data broadcast by fishing vessels.
Keywords
aquaculture; data mining; fishing industry; marine engineering; AIS; automatic identification system; automatic knowledge extraction; automatic vessel activity classification; automatic vessel activity identification; fishing footprints mapping; maritime environment; maritime situational awareness; positioning data; sea; vessel activity discovery; Clustering algorithms; Data mining; Indium phosphide; Marine vehicles; Noise; Sea measurements; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2014 17th International Conference on
Conference_Location
Salamanca
Type
conf
Filename
6916045
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