Seafloor habitat mapping using machine learning and underwater acoustic sonar

• Main Authors: Che Hasan, Rozaimi, Md. Said, Najhan, Khalil, Idham
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/96100/; http://dx.doi.org/10.1007/978-981-16-8484-5_26

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...