Detecting migrant vessels in the Cyprus region using Sentinel-1 SAR data

George Melillos; Kyriacos Themistocleous; Christos Danezis; Silas Michaelides; Diofantos G. Hadjimitsis; Sven Jacobsen; Björn Tings

doi:10.1117/12.2573744

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20 September 2020 Detecting migrant vessels in the Cyprus region using Sentinel-1 SAR data

George Melillos, Kyriacos Themistocleous, Christos Danezis, Silas Michaelides, Diofantos G. Hadjimitsis, Sven Jacobsen, Björn Tings

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Proceedings Volume 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV; 115420N (2020) https://doi.org/10.1117/12.2573744
Event: SPIE Security + Defence, 2020, Online Only

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 decisionmakers with effective results and spatial information on migration routes.

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George Melillos, Kyriacos Themistocleous, Christos Danezis, Silas Michaelides, Diofantos G. Hadjimitsis, Sven Jacobsen, and Björn Tings "Detecting migrant vessels in the Cyprus region using Sentinel-1 SAR data", Proc. SPIE 11542, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV, 115420N (20 September 2020); https://doi.org/10.1117/12.2573744

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