Coverage estimation of benthic habitat features by semantic segmentation of underwater imagery from South-eastern Baltic reefs using deep learning models
Underwater imagery (UI) is an important and sometimes the only tool for mapping hard-bottom habitats. With the development of new camera systems, from hand-held or simple “drop-down” cameras to ROV/AUV-mounted video systems, video data collection has increased considerably. However, the processing a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Oceanology of the Polish Academy of Sciences
2024-04-01
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| Series: | Oceanologia |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0078323423000933 |
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