Crowdsourcing Experiment and Fully Convolutional Neural Networks for Coastal Remote Sensing of Seagrass and Macroalgae

Crowdsourcing Experiment and Fully Convolutional Neural Networks for Coastal Remote Sensing of Seagrass and Macroalgae

Recently, convolutional neural networks and fully convolutional neural networks (FCNs) have been successfully used for monitoring coastal marine ecosystems, in particular vegetation. However, even with recent advances in computational modeling and data acquisition, deep learning models require subst...

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Bibliographic Details
Main Authors: Brandon Hobley, Michal Mackiewicz, Julie Bremner, Tony Dolphin, Riccardo Arosio
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
crowdsourcing
deep learning (DL)
multispectral
remote sensing
Online Access:https://ieeexplore.ieee.org/document/10243090/

Internet

https://ieeexplore.ieee.org/document/10243090/

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