Oil Spill Classification Using an Autoencoder and Hyperspectral Technology

Oil Spill Classification Using an Autoencoder and Hyperspectral Technology

Hyperspectral technology has been playing a leading role in monitoring oil spills in marine environments, which is an issue of international concern. In the case of monitoring oil spills in local areas, hyperspectral technology of small dimensions is the ideal solution. This research explores the us...

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Bibliographic Details
Main Authors: María Gema Carrasco-García, María Inmaculada Rodríguez-García, Juan Jesús Ruíz-Aguilar, Lipika Deka, David Elizondo, Ignacio José Turias Domínguez
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Marine Science and Engineering
Subjects:
hyperspectral
artificial neural network
autoencoder
decision tree
oil spills
machine learning
Online Access:https://www.mdpi.com/2077-1312/12/3/495

Internet

https://www.mdpi.com/2077-1312/12/3/495

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