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

Abstract 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 locatio...

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Bibliographic Details

Published in:	Data Science and Engineering
Main Authors:	Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li
Format:	Article
Language:	English
Published:	SpringerOpen 2020-06-01
Subjects:	Deep convolutional neural network Seagrass detection Domain adaptation
Online Access:	https://doi.org/10.1007/s41019-020-00126-0