Aerial-trained deep learning networks for surveying cetaceans from satellite imagery

Most cetacean species are wide-ranging and highly mobile, creating significant challenges for researchers by limiting the scope of data that can be collected and leaving large areas un-surveyed. Aerial surveys have proven an effective way to locate and study cetacean movements but are costly and lim...

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Detalles Bibliográficos
Autores principales: Borowicz, Alex, Le, Hieu, Humphries, Grant, Nehls, Georg, Höschle, Caroline, Kosarev, Vladislav, Lynch, Heather J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772036/
https://www.ncbi.nlm.nih.gov/pubmed/31574136
http://dx.doi.org/10.1371/journal.pone.0212532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772036/
https://www.ncbi.nlm.nih.gov/pubmed/31574136
http://dx.doi.org/10.1371/journal.pone.0212532

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