Monitoring Marine Protected Areas using Data Fusion and AI Techniques

Main Authors: Konstantina Bereta, Aristides Millios, Konstantinos Chatzikokolakis, Dimitris Zissis
Format: Proceeding eJournal
Terbitan: , 2019
Subjects:
AIS
Online Access: https://zenodo.org/record/3526872
Daftar Isi:
  • 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.