How to obtain clear images from in-trawl cameras near the seabed? A case study from the Barents Sea demersal fishing grounds-Reference-Cited by-同舟云学术

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How to obtain clear images from in-trawl cameras near the seabed? A case study from the Barents Sea demersal fishing grounds

Published:2023-12 Issue: Volume:268 Page:106856
ISSN:0165-7836
Container-title:Fisheries Research
language:en
Short-container-title:Fisheries Research

Author:

Tenningen Maria^ORCID,Rosen Shale,Taraneh Westergerling E.H.,Handegard Nils Olav

Funder

Norges Forskningsråd

Publisher

Elsevier BV

Subject

Aquatic Science

Reference40 articles.

1. Fish species identification using a convolutional neural network trained on synthetic data;Allken;ICES J. Mar. Sci.,2019

2. A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images;Allken;ICES J. Mar. Sci.,2021

3. Revealing the secrets of Norway’s seafloor – geological mapping within the MAREANO programme and in coastal areas;Bøe,2022

4. Development of stereo camera methodologies to improve pelagic fish biomass estimates and inform ecosystem management in marine waters;Boldt;Fish. Res.,2018

5. Applications of deep convolutional neural networks to predict length, circumference, and weight from mostly dewatered images of fish;Bravata;Ecol. Evol.,2020

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