CLASSIFICATION AND PREDICTION OF BENTHIC HABITAT FROM SCIENTIFIC ECHOSOUNDER DATA: APPLICATION OF MACHINE LEARNING ALGORITHMS

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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Bibliographic Details
Main Authors: Baigo HAMUNA, Sri PUJIYATI, Jonson Lumban GAOL, Totok HESTIRIANOTO
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2024-12-01
Series:Applied Computer Science
Subjects:
Acoustic parameters
Single-beam echosounder
Mapping Accuracy
Random Forest
Support Vector Machine
Online Access:https://ph.pollub.pl/index.php/acs/article/view/6561
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