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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Published in: | Remote sensing (Basel, Switzerland) Vol. 12; no. 14; p. 2260 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Basel
MDPI AG
01-07-2020
MDPI |
Subjects: | |
Online Access: | Get full text |
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