Acoustic Imaging Learning-Based Approaches for Marine Litter Detection and Classification

Acoustic Imaging Learning-Based Approaches for Marine Litter Detection and Classification

This paper introduces an advanced acoustic imaging system leveraging multibeam water column data at various frequencies to detect and classify marine litter. This study encompasses (i) the acquisition of test tank data for diverse types of marine litter at multiple acoustic frequencies; (ii) the cre...

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Bibliographic Details
Main Authors: Pedro Alves Guedes, Hugo Miguel Silva, Sen Wang, Alfredo Martins, José Almeida, Eduardo Silva
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Journal of Marine Science and Engineering
Subjects:
multibeam echosounder
water column data
macroplastics
classification
detection
convolutional neural networks
Online Access:https://www.mdpi.com/2077-1312/12/11/1984
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https://www.mdpi.com/2077-1312/12/11/1984

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