Automatic detection of marine oil spills from polarimetric SAR images using deep Convolutional neural network model

Automatic detection of marine oil spills from polarimetric SAR images using deep Convolutional neural network model

Oil Spills (OS) exert serious threats to marine ecosystems, hence quick and accurate monitoring of OS is of great significance. In recent years, the Synthetic Aperture Radar (SAR) remote sensing technique has been used to monitor OS because of its wide coverage and operating in any weather condition...

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Bibliographic Details
Main Authors: Wenyue Song, Xiaoshuang Ma, Wenbo Song
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Ecological Indicators
Subjects:
Marine ecosystem
Oil spill detection
Synthetic aperture radar
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24013918
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