Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories

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ID: 267453
2020
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Abstract
An understanding of marine ecosystems and their biodiversity is relevant to sustainable use of the goods and services they offer. Since marine areas host complex ecosystems, it is important to develop spatially widespread monitoring networks capable of providing large amounts of multiparametric info …
Reference Key
v2020sensorsvideo Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Lopez-Vazquez V;Lopez-Guede JM;Marini S;Fanelli E;Johnsen E;Aguzzi J;;
Journal sensors
Year 2020
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/32012976
Keywords
deep learning neural networks Computer National Center for Biotechnology Information NCBI NLM MEDLINE animals humans pubmed abstract nih national institutes of health national library of medicine image enhancement / methods ecosystem* oceans and seas biodiversity* pmid:32012976 pmc7038495 doi:10.3390/s20030726 vanesa lopez-vazquez jose manuel lopez-guede jacopo aguzzi aquatic organisms / classification aquatic organisms / physiology* machine learning video recording / methods*

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