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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Bibliographic Details
Main Authors: Che Hasan, Rozaimi, Md. Said, Najhan, Khalil, Idham
Format: Book Section
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects: