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Reflection-coefficient experimental extraction from S21- parameter for radar oil-spill detection application

Bilal Hammoud 1,2, Fabien Ndagijimana 2, Ghaleb Faour 3, Hussam Ayad 1, Majida Fadlallah 1, Jalal Jomaah 1

Article ID: 647
Vol 3, Issue 2, 2018, Article identifier:

VIEWS - 364 (Abstract) 197 (PDF)


Oil spill in sea water is one of the main accidents that affect significantly the maritime environment over a long period of time. Knowing the severe influence of oil spills on the ecosystem, it is crucial to have oil spill detecting and monitoring systems for quick intervention and danger containment. In our project, we propose the usage of drones as an oil spill detection system. The drones will be implementing different previously developed multi-frequency approaches for the detection. The effectiveness of such techniques is based on the accuracy of the data collected and their match to the theory. This journal presents a method for the remote extraction of reflection coefficients from multilayer structure modeling an oil spill in sea water. The experimental results for the reflectivity extraction validate the theoretical calculations and allow the implementation of different algorithms based on the statistical information taken directly from the site.


Oil spill; radar; reflection coefficient; reflectivity; dielectric constant; parameter extraction.

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