Application of Transfer Learning and Convolutional Neural Networks for Autonomous Oil Sheen Monitoring

Application of Transfer Learning and Convolutional Neural Networks for Autonomous Oil Sheen Monitoring

Oil sheen on the water surface can indicate a source of hydrocarbon in underlying subaquatic sediments. Here, we develop and test the accuracy of an algorithm for automated real-time visual monitoring of the water surface for detecting oil sheen. This detection system is part of an automated oil she...

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Bibliographic Details
Main Authors: Jialin Dong, Katherine Sitler, Joseph Scalia, Yunhao Ge, Paul Bireta, Natasha Sihota, Thomas P. Hoelen, Gregory V. Lowry
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
oil sheen
oil pollution monitoring
convolutional neural network
transfer learning
Online Access:https://www.mdpi.com/2076-3417/12/17/8865

Internet

https://www.mdpi.com/2076-3417/12/17/8865

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