Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
Clicks: 210
ID: 267453
2020
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 (Basel, Switzerland) |
| Year | 2020 |
| DOI | DOI not found |
| URL | |
| 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*
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.