Seafloor habitat mapping using machine learning and underwater acoustic sonar

• Main Authors: Che Hasan, Rozaimi, Md. Said, Najhan, Khalil, Idham
• Format: Book Section
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/100531/; http://dx.doi.org/10.1007/978-981-16-8484-5_26
• Institution: Universiti Teknologi Malaysia

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...