IMPROVING THE ACCURACY OF AN OIL SPILL DETECTION AND CLASSIFICATION MODEL WITH FAKE DATASETS
Deep learning is a popular tool for object detection, including oil spill detection. However, acquiring sufficient data for training deep learning models can be challenging, particularly for offshore oil spill accidents. Data augmentation is an effective solution to this issue. This study proposes a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-12-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-1-W1-2023/51/2023/isprs-annals-X-1-W1-2023-51-2023.pdf |