Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks

Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks

The visualization of near infrared hyperspectral images is valuable for quick view and information survey, whereas methods using band selection or dimension reduction fail to produce good colors as reasonable as corresponding multispectral images. In this paper, an end-to-end neural network of hyper...

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Bibliographic Details
Main Authors: Rongxin Tang, Hualin Liu, Jingbo Wei
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
hyperspectral images
hyperspectral visualization
convolutional neural networks
Generative Adversarial Networks
GAN
Hyperion
Online Access:https://www.mdpi.com/2072-4292/12/23/3848

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https://www.mdpi.com/2072-4292/12/23/3848

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