Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning

We propose a deep-learning framework to detect and categorize oil spills in synthetic aperture radar (SAR) images at a large scale. Through a carefully designed neural network model for image segmentation trained on an extensive dataset, we obtain state-of-the-art performance in oil spill detection,...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Vol. 12; no. 14; p. 2260
Main Authors: Bianchi, Filippo Maria, Espeseth, Martine M., Borch, Njål
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-07-2020
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