Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30630
Title: Detecting Vessels in exclusive economic zone (EEZ) of the Republic of Cyprus using Sentinel-1
Authors: Kalogirou, Eleftheria 
Melillos, George 
Makri, Despina 
Hadjimitsis, Diofantos G. 
Editors: Hou, Weilin 
Mullen, Linda J. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Arc GIS Pro;Cyprus;Detect ships Using Deep Learning;Maritime safety;SNAP
Issue Date: 3-May-2023
Source: Ocean Sensing and Monitoring XV 2023, Orlando, Florida, 3 - 4 May 2023
Volume: 12543
Conference: Proceedings of SPIE - The International Society for Optical Engineering 
Abstract: Maritime surveillance is critical for threat prevention, national security, and safety maintenance. Maritime traffic involves the worldwide navigation of millions of vessels. Satellite missions like Sentinel-1 made it possible to collect systematic data for vessel tracking. Using the Copernicus Open Access Hub service, it is now feasible to access satellite data in fully automated and near real-time mode and deliver vessel information through a web portal interface. This paper aims to detect vessels in exclusive economic zone (EEZ) of the Republic of Cyprus, Southwest of Cyprus using freely available Sentinel- 1 SAR imagery data. Comparison of results obtained using Sentinel Application Platform (SNAP) and Arc GIS Pro - Deep Learning. The preliminary results show that both tools can be used to ship detection and give satisfactory results.
URI: https://hdl.handle.net/20.500.14279/30630
ISBN: 9781510662025
ISSN: 0277786X
DOI: 10.1117/12.2663506
Rights: © SPIE
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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