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Volume 23
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Correction to Sensors 2020, 20(3), 726.
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Correction

Correction: Lopez-Vazquez et al. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors 2020, 20, 726

by
Vanesa Lopez-Vazquez
1,2,*,
Jose Manuel Lopez-Guede
3,
Simone Marini
4,5,
Emanuela Fanelli
5,6,
Espen Johnsen
7 and
Jacopo Aguzzi
5,8
1
DS Labs, R+D+I unit of Deusto Sistemas S.A., 01015 Vitoria-Gasteiz, Spain
2
University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain
3
Department of System Engineering and Automation Control, Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain
4
Institute of Marine Sciences, National Research Council of Italy (CNR), 19032 La Spezia, Italy
5
Stazione Zoologica Anton Dohrn (SZN), 80122 Naples, Italy
6
Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy
7
Institute of Marine Research, P.O. Box 1870, 5817 Bergen, Norway
8
Instituto de Ciencias del Mar (ICM) of the Consejo Superior de Investigaciones Científicas (CSIC), 08003 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(1), 16; https://doi.org/10.3390/s23010016
Submission received: 17 June 2022 / Accepted: 12 October 2022 / Published: 20 December 2022
(This article belongs to the Special Issue Imaging Sensor Systems for Analyzing Subsea Environment and Life)
Versions Notes
The authors wish to correct the following error in the original paper [1].
An additional affiliation (University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006, Vitoria-Gasteiz, Spain) has been added to the first author. Due to this change, the numbers of the rest of the affiliations of each author were updated.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the academic editor. The original publication has also been updated.

Reference

  1. Lopez-Vazquez, V.; Lopez-Guede, J.M.; Marini, S.; Fanelli, E.; Johnsen, E.; Aguzzi, J. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors 2020, 20, 726. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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MDPI and ACS Style

Lopez-Vazquez, V.; Lopez-Guede, J.M.; Marini, S.; Fanelli, E.; Johnsen, E.; Aguzzi, J. Correction: Lopez-Vazquez et al. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors 2020, 20, 726. Sensors 2023, 23, 16. https://doi.org/10.3390/s23010016

AMA Style

Lopez-Vazquez V, Lopez-Guede JM, Marini S, Fanelli E, Johnsen E, Aguzzi J. Correction: Lopez-Vazquez et al. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors 2020, 20, 726. Sensors. 2023; 23(1):16. https://doi.org/10.3390/s23010016

Chicago/Turabian Style

Lopez-Vazquez, Vanesa, Jose Manuel Lopez-Guede, Simone Marini, Emanuela Fanelli, Espen Johnsen, and Jacopo Aguzzi. 2023. "Correction: Lopez-Vazquez et al. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors 2020, 20, 726" Sensors 23, no. 1: 16. https://doi.org/10.3390/s23010016

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