The InflateSAR Campaign: Developing Refugee Vessel Detection Capabilities with Polarimetric SAR

Author:

Lanz Peter12ORCID,Marino Armando3ORCID,Simpson Morgan David3ORCID,Brinkhoff Thomas2ORCID,Köster Frank14,Möller Matthias5

Affiliation:

1. Department of Computing Science, Carl von Ossietzky University of Oldenburg, Ammerländer Heerstraße 114-118, 26129 Oldenburg, Germany

2. Institute for Applied Photogrammetry and Geoinformatics, Jade University Oldenburg, Ofener Str. 16/19, 26121 Oldenburg, Germany

3. Department of Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK

4. Institute for AI Safety and Security, German Aerospace Center (DLR), Rathausallee 12, 53757 Sankt Augustin, Germany

5. Faculty for Humanities and Cultural Sciences, Otto-Friedrich-University of Bamberg, Am Kranen, 96045 Bamberg, Germany

Abstract

In the efforts to mitigate the ongoing humanitarian crisis at the European sea borders, this work builds detection capabilities to help find refugee boats in distress. For this paper, we collected dual-pol and quad-pol synthetic aperture radar (SAR) data over a 12 m rubber inflatable in a test-bed lake near Berlin, Germany. To consider a real scenario, we prepared the vessel so that its backscattering emulated that of a vessel fully occupied with people. Further, we collected SAR imagery over the ocean with different sea states, categorized by incidence angle and by polarization. These were used to emulate the conditions for a vessel located in ocean waters. This setup enabled us to test nine well-known vessel-detection systems (VDS), to explore the capabilities of new detection algorithms and to benchmark different combinations of detectors (detector fusion) with respect to different sensor and scene parameters (e.g., the polarization, wind speed, wind direction and boat orientation). This analysis culminated in designing a system that is specifically tailored to accommodate different situations and sea states.

Funder

state of Lower Saxony

Jade University Oldenburg

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference51 articles.

1. IOM (2023, March 23). Missing Migrants Project. Available online: https://missingmigrants.iom.int/region/mediterranean.

2. IOM (2023, March 23). Displacement Tracking Matrix. Available online: https://dtm.iom.int/europe/arrivals.

3. UNHCR (2023, March 23). Mediterranean Situation. Available online: https://data.unhcr.org/en/situations/mediterranean.

4. Novak, L.M., Sechtin, M.B., and Burl, M.C. (1989). Algorithms for Optimal Processing of Polarimetric Radar Data, Massachusetts Institute of Technology Lexington Lincoln Lab. Polarimetric Technology Handbook, GACIAC HB 92–01, 139–206, Chicago.

5. Crisp, D.J., and Redding, N.J. (2004, January 18–22). Ship Detection in Synthetic Aperture Radar Imagery. Proceedings of the 12th Australasian Remote Sensing and Photogrammetry Conference, Fremantle, Australia.

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