Automatic Recognition of Oil Spills Using Neural Networks and Classic Image Processing

Automatic Recognition of Oil Spills Using Neural Networks and Classic Image Processing

Oil spill events are one of the major risks to marine and coastal ecosystems and, therefore, early detection is crucial for minimizing environmental contamination. Oil spill events have a unique appearance in satellite images created by Synthetic Aperture Radar (SAR) technology, because they are byp...

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Bibliographic Details
Main Authors: Rotem Rousso, Neta Katz, Gull Sharon, Yehuda Glizerin, Eitan Kosman, Assaf Shuster
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Water
Subjects:
convolutional neural network
image filtering
pre-processing
oil spill detection
SAR imagery
semantic image segmentation
Online Access:https://www.mdpi.com/2073-4441/14/7/1127

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