Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder

Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder

Multibeam echosounders are widely used for 3D bathymetric mapping, and increasingly for water column studies. However, they rapidly collect huge volumes of data, which poses a challenge for water column data processing that is often still manual and time-consuming, or affected by low efficiency and...

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Bibliographic Details
Main Authors: Annalisa Minelli, Anna Nora Tassetti, Briony Hutton, Gerardo N. Pezzuti Cozzolino, Toby Jarvis, Gianna Fabi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
multibeam echosounder
water column imaging
machine learning
fish schools
gas plumes
target detection and classification
Online Access:https://www.mdpi.com/1424-8220/21/9/2999

Internet

https://www.mdpi.com/1424-8220/21/9/2999

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