Automated marine oil spill detection using deep learning instance segmentation model
This study developed a novel deep learning oil spill instance segmentation model using Mask-Region-based Convolutional Neural Network (Mask R-CNN) model which is a state-of-the-art computer vision model. A total of 2882 imageries containing oil spill, look-alike, ship, and land area after conducting...
| Main Authors: | Yekeen, S.T., Balogun, A.-L. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30064 / |
| Published: |
International Society for Photogrammetry and Remote Sensing
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091137521&doi=10.5194%2fisprs-archives-XLIII-B3-2020-1271-2020&partnerID=40&md5=4c78a479f05be1034fa1109e27c175ca http://eprints.utp.edu.my/30064/ |
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