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...
Main Authors: | Rongxin Tang, Hualin Liu, Jingbo Wei |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/23/3848 |
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