Automatic Hierarchical Classification of Kelps Using Deep Residual Features

Across the globe, remote image data is rapidly being collected for the assessment of benthic communities from shallow to extremely deep waters on continental slopes to the abyssal seas. Exploiting this data is presently limited by the time it takes for experts to identify organisms found in these im...

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Detalles Bibliográficos
Autores principales: Mahmood, Ammar, Ospina, Ana Giraldo, Bennamoun, Mohammed, An, Senjian, Sohel, Ferdous, Boussaid, Farid, Hovey, Renae, Fisher, Robert B., Kendrick, Gary A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013955/
https://www.ncbi.nlm.nih.gov/pubmed/31941132
http://dx.doi.org/10.3390/s20020447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013955/
https://www.ncbi.nlm.nih.gov/pubmed/31941132
http://dx.doi.org/10.3390/s20020447

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