Seafloor habitat mapping using machine learning and underwater acoustic sonar
The need for detailed spatial map of marine habitats is increasingly important and demanding in managing and preserving marine biodiversity. This study integrates machine learning technique with the in-situ dataset and underwater acoustic mapping data to produce habitat classification maps. For the...
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| Main Authors: | , , |
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| Format: | Book Section |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/100531/ http://dx.doi.org/10.1007/978-981-16-8484-5_26 |
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