Detection of oil spill pollution in seawater using drones: Simulation lab-based experimental study

Ashraf Saleem, Ahmed Al Maashri, Omer Eldirdiry, Jawhar Ghommam, Hadj Bourdoucen, Amran Al-Kamzari, Ghazi Al Rawas, Ahmed Ammari

نتاج البحث: Conference contribution

1 اقتباس (Scopus)

ملخص

This paper presents a simulation and lab-based experimental study of detecting oil spills in the oceans using drones. The proposed simulation process is the first phase of long-term research that is targeting to limit the oil spill contaminations in Omani coastline. This study presents some methods and tools to detect an oil spill in a prearranged scenario. The methods and tools are tested in simulation and verified in lab-based experiments. Footage of oil spill cases is used to illustrate the process of oil spill detection. In addition, image processing techniques are applied to provide an accurate outline of the spill's perimeter. The results exhibit the effectiveness of using the proposed methods and tools in detecting oil spills.

اللغة الأصليةEnglish
عنوان منشور المضيف2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings
المحررونSatyajit Chakrabarti, Rajashree Paul, Bob Gill, Malay Gangopadhyay, Sanghamitra Poddar
ناشرInstitute of Electrical and Electronics Engineers Inc.
رقم المعيار الدولي للكتب (الإلكتروني)9781665440677
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أبريل 21 2021
الحدث2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Toronto, Canada
المدة: أبريل ٢١ ٢٠٢١أبريل ٢٤ ٢٠٢١

سلسلة المنشورات

الاسم2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings

Conference

Conference2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021
الدولة/الإقليمCanada
المدينةToronto
المدة٤/٢١/٢١٤/٢٤/٢١

ASJC Scopus subject areas

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  • ???subjectarea.asjc.3100.3105???

بصمة

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