Automatic Hierarchical Classification of Kelps Using Deep Residual Features

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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Bibliographic Details
Main Authors: Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, Renae Hovey, Robert B. Fisher, Gary A. Kendrick
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
deep learning
hierarchical classification
kelp cover
kelps
manual annotation
benthic marine population analysis
Online Access:https://www.mdpi.com/1424-8220/20/2/447

Internet

https://www.mdpi.com/1424-8220/20/2/447

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