A novel deep learning instance segmentation model for automated marine oil spill detection
The visual similarity of oil slick and other elements, known as look-alike, affects the reliability of synthetic aperture radar (SAR) images for marine oil spill detection. So far, detection and discrimination of oil spill and look-alike are still limited to the use of traditional machine learning a...
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| Main Authors: | , , |
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| Format: | Article |
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Elsevier B.V.
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088631447&doi=10.1016%2fj.isprsjprs.2020.07.011&partnerID=40&md5=bdfc287eb4cd977e889cb0d756b0153a http://eprints.utp.edu.my/30030/ |
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