Mussel culture monitoring with semi-supervised machine learning on multibeam echosounder data using label spreading-Reference-Cited by-同舟云学术

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Mussel culture monitoring with semi-supervised machine learning on multibeam echosounder data using label spreading

Published:2024-10 Issue: Volume:369 Page:122250
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Bai Qian^ORCID,Amiri-Simkooei Alireza^ORCID,Mestdagh Sebastiaan^ORCID,Simons Dick G.,Snellen Mirjam^ORCID

Funder

NWO

Publisher

Elsevier BV

Reference47 articles.

1. Spatial pseudo-labeling for semi-supervised facies classification;Asghar;J. Pet. Sci. Eng.,2020

2. Particle size scales and classification of sediment types based on particle size distributions: Review and recommended procedures;Blott;Sedimentology,2012

3. Mapping benthic habitat in regions of gradational substrata: an automated approach utilising geophysical, geological, and biological relationships;Brown;Estuar. Coast. Shelf Sci.,2008

4. Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques;Brown;Estuar. Coast. Shelf Sci.,2011

5. Production Efficiency of Mussel Bottom Culture;Capelle,2017

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