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

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

Internet

https://doi.org/10.1007/s41019-020-00126-0

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