Generative Adversarial Network Synthesis of Hyperspectral Vegetation Data

Generative Adversarial Network Synthesis of Hyperspectral Vegetation Data

New, accurate and generalizable methods are required to transform the ever-increasing amount of raw hyperspectral data into actionable knowledge for applications such as environmental monitoring and precision agriculture. Here, we apply advances in generative deep learning models to produce realisti...

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Bibliographic Details
Main Authors: Andrew Hennessy, Kenneth Clarke, Megan Lewis
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
hyperspectral
vegetation
generative adversarial network
deep learning
data augmentation
classification
Online Access:https://www.mdpi.com/2072-4292/13/12/2243

Internet

https://www.mdpi.com/2072-4292/13/12/2243

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