Monitoring Marine Protected Areas using Data Fusion and AI Techniques
Konstantina Bereta, Aristides Millios, Konstantinos Chatzikokolakis, Dimitris Zissis
1st Maritime Situational Awareness Workshop MSAW 2019, 2019
Abstract
In this paper we describe a workflow for monitoring maritime activity in marine protected areas which makes use of open non-collaborative surveillance data. We developed a workflow that automatically searches for satellite images that cover marine NATURA 2000 areas which are then classified using a Convolutional Neural Network that is able to detect vessels in the areas of interest. Our neural network is trained using AIS data as ground truth.
The work described in this paper was funded by the EU H2020 project INFORE (Grant Agreement No. 825070).
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