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Vessel Trajectories Outliers

Authors :
Tomas Machado
João Ferreira
Pedro M. Santos
Rui Maia
Source :
Advances in Intelligent Systems and Computing ISBN: 9783030017453, ISAmI
Publication Year :
2018
Publisher :
Springer International Publishing, 2018.

Abstract

In this work we describe our first steps towards our H2020 project MARISA participation, where we intent to develop a tool-kit towards the identification of outliers in Vessel trajectories based on electronic data regarding position and time. These outliers can correspond to illegal activities that could be related with illegal immigration, drugs transshipment among others. We developed process tools that based on any electronic Vessel position systems, like Automatic Identification System (AIS) data, it is possible to extract routes in an unsupervised approach. At the same time identify non-conformities based on AIS data signal lost and to identify situation when two or more Vessels are approaching close to each other, called the rendezvous.

Details

ISBN :
978-3-030-01745-3
ISBNs :
9783030017453
Database :
OpenAIRE
Journal :
Advances in Intelligent Systems and Computing ISBN: 9783030017453, ISAmI
Accession number :
edsair.doi...........e7961022db309dd058b1b1380ad951a0
Full Text :
https://doi.org/10.1007/978-3-030-01746-0_29