Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/21975
Title: Detecting Migrant Vessels in the Cyprus Region using Sentinel-1 SAR data
Authors: Melillos, George 
Themistocleous, Kyriacos 
Danezis, Chris 
Michaelides, Silas 
Hadjimitsis, Diofantos G. 
Jacobsen, Sven 
Tings, Björn 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Remote Sensing;Sentinel-1 SAR;OSINT;Migrants;Maritime Surveillance;Cyprus coasts
Issue Date: 20-Sep-2020
Source: Proceedings Volume 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV
Volume: 11542
Issue: 115420N
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Journal: Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV 
Conference: SPIE Security + Defence 
Abstract: Remote sensing is considered as an increasingly important technology for maritime surveillance. The process of maritime surveillance for safety is critical for every country. The need for information on migrant movements by sea using different sizes and types of vessels is of paramount significance. Such information is essential for the search and rescue (SaR) operations of unauthorised migrants. The aim of this paper is to show how to detect migrant vessels in the Cyprus Region using freely available Sentinel-1 SAR data. The comparison was made using open source available migrant data and Sentinel-1 SAR acquisitions. Sentinel-1 SAR images were used to investigate three Areas of Interest (AoI). The main AoI is located at the Northwest coasts, whilst the second area includes the Southeast coasts of Cyprus. The results indicate that the Sentinel-1 SAR data can provide decision-makers with effective results and spatial information on migration routes.
URI: https://ktisis.cut.ac.cy/handle/10488/21975
DOI: 10.1117/12.2573744
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
German Aerospace Center 
Appears in Collections:EXCELSIOR H2020 Teaming Project Publications

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