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Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas

Seagrass form the basis for critically important marine ecosystems. Previously, we implemented a deep convolutional neural network (CNN) model to detect seagrass in multispectral satellite images of three coastal habitats in northern Florida. However, a deep CNN model trained at one location usually...

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Detalles Bibliográficos
Autores principales: Islam, Kazi Aminul, Hill, Victoria, Schaeffer, Blake, Zimmerman, Richard, Li, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357679/
https://www.ncbi.nlm.nih.gov/pubmed/32685664
http://dx.doi.org/10.1007/s41019-020-00126-0