Kourounioti, O., Kontopoulos, C., Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748, Urbas, A., Rodic, T., Frohlich, H., Ferryman, J. and Charalampopoulou, V.
(2024)
EURMARS: use of satellite imagery as an asset for maritime environment rapid mapping and objects detection in large areas.
Information & Security, 55 (2).
pp. 149-164.
ISSN 1314-2119
doi: 10.11610/isij.5524
Abstract/Summary
The increasing complexity of maritime risks and threats requires accurate and timely identification for environmental and human safety. Satellite observa-tions enable comprehensive surveillance of large maritime areas, which is es-sential for detecting and responding to environmental changes and potential threats. The Horizon Europe project EURMARS aims to develop and validate a multi-purpose observation platform to enhance detection capabilities for various risks and threats. This paper introduces a novel Earth Observation (EO) algorithm based on Object-Based Image Analysis (OBIA), employing a You Only Look Once (YOLO) -v9 model to process data from open-access sat-ellites (Sentinel-1, Sentinel-2, Landsat 8, 9) and video from the microsatellite NEMO-HD. Automatic Identification System (AIS) data are used to ensure comprehensive monitoring and validate the method’s results. Satellite im-agery with AIS data integration is a critical element of the vessel tracking methodology, significantly improving the accuracy and reliability of maritime surveillance. Real-life demonstrations have confirmed the method’s effective-ness in enhancing maritime security and facilitating early detection and re-sponse to threats.
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Item Type | Article |
URI | https://reading-clone.eprints-hosting.org/id/eprint/119983 |
Item Type | Article |
Refereed | Yes |
Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science |
Publisher | Procon Ltd. |
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