CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS
This study aims to map three main benthic habitats (coral, seagrass, and sand) in Kapota Atoll (Wakatobi, Indonesia) using single-beam echosounder (SBES) Simrad EK15. Eight acoustic parameters are used as classification aThis study aims to map three main benthic habitats (coral, seagrass, and sand)...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Association for Knowledge Promotion
2024-12-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/6561 |
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