Oil Spill Identification from Satellite Images Using Deep Neural Networks

Oil Spill Identification from Satellite Images Using Deep Neural Networks

Oil spill is considered one of the main threats to marine and coastal environments. Efficient monitoring and early identification of oil slicks are vital for the corresponding authorities to react expediently, confine the environmental pollution and avoid further damage. Synthetic aperture radar (SA...

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Bibliographic Details
Main Authors: Marios Krestenitis, Georgios Orfanidis, Konstantinos Ioannidis, Konstantinos Avgerinakis, Stefanos Vrochidis, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
oil spill detection
SAR imagery
deep convolutional neural networks
semantic image segmentation
remote sensing
Online Access:https://www.mdpi.com/2072-4292/11/15/1762

Internet

https://www.mdpi.com/2072-4292/11/15/1762

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