Discrimination of Oil Slicks and Lookalikes in Polarimetric SAR Images Using CNN

Discrimination of Oil Slicks and Lookalikes in Polarimetric SAR Images Using CNN

Oil slicks and lookalikes (e.g., plant oil and oil emulsion) all appear as dark areas in polarimetric Synthetic Aperture Radar (SAR) images and are highly heterogeneous, so it is very difficult to use a single feature that can allow classification of dark objects in polarimetric SAR images as oil sl...

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Bibliographic Details
Main Authors: Hao Guo, Danni Wu, Jubai An
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Sensors
Subjects:
Synthetic Aperture Radar (SAR)
pattern recognition
oil slicks
lookalikes
feature fusion
Convolutional Neural Network (CNN)
Online Access:https://www.mdpi.com/1424-8220/17/8/1837

Internet

https://www.mdpi.com/1424-8220/17/8/1837

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