RESEARCH ARTICLE

Volume 5,Issue 2

Fall 204

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15 October 2018

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

Bilal Hammoud1,2* Fabien Ndagijimana2 Ghaleb Faour3 Hussam Ayad1 Majida Fadlallah1 Jalal Jomaah1
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1 Lebanese University (LU), Doctoral School of Sciences and Technologies, 1003 Beirut, Lebanon
2 Grenoble Alpes University (UGA), Grenoble Electrical Engineering Laboratory, 38031 Grenoble
3 National Council of Scientific Research (CNRS-L), Remote Sensing Research Center, 22411 Mansouriyeh, Lebanon
© 2023 by the Author(s). Licensee Whioce Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

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.

Keywords
Oil spill
radar
reflection coefficient
reflectivity
dielectric constant
parameter extraction
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Conflict of interest
The authors declare they have no competing interests.
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