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...
| Main Authors: | Temitope Yekeen, S., Balogun, A.L., Wan Yusof, K.B. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30030 / |
| Published: |
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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