Oil Spill Identification using Deep Convolutional Neural Networks

David M. Feinauer, Ghazanfar Latif, Abeer M. Alenazy, Nizar Tayem, Jaafar Alghazo, Loay Alzubaidi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Oil spill detection is an extremely important topic in which Machine Learning (ML) can be utilized because oil spills that go undetected can cause huge environmental negative impacts. The science of how an oil spill can cause devastation to wildlife has been widely viewed with sorrow and the early detection of oil spills can greatly reduce the negative impact oil spills have on the environment. If an optimal solution is found for oil spill detection, continuous monitoring can be achieved either through satellite images or images obtained from unmanned aerial vehicles such as drones. In this paper, we develop a dataset for oil spill detection collected from images from the Internet and other online resources. The dataset consists of 783 images of Oil Spills and 783 normal images. Since these are real-world images, research done on this dataset will produce a more realistic and practical solution. In this paper, we also propose an enhanced CNN model based on GoogleNet and VGG16 combined with transfer learning for the detection and classification of oil spills. The GoogleNet Transfer Learning model achieved better results of training accuracy of 97.5%, training loss of 0.0894, and validation accuracy of 95.6%. Since this is a new dataset, the results cannot be compared to anything in the extant literature.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages240-245
Number of pages6
ISBN (Electronic)9781665487719
DOIs
StatePublished - 2022
Externally publishedYes
Event14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 - Al-Khobar, Saudi Arabia
Duration: Dec 4 2022Dec 6 2022

Publication series

NameProceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022

Conference

Conference14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022
Country/TerritorySaudi Arabia
CityAl-Khobar
Period12/4/2212/6/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Convolutional Neural Networks
  • Deep Learning
  • Machine Learning
  • Oil Detection
  • Oil Spill

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