FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion

Due to hardware limitations of the imaging sensors, it is challenging to acquire images of high resolution in both spatial and spectral domains. Fusing a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI) to obtain an HR-HSI in an unsupervised manner has d...

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Vydané v:	IEEE transactions on image processing Ročník 29; s. 7565 - 7577
Hlavní autori:	Wang, Zhengjue, Chen, Bo, Lu, Ruiying, Zhang, Hao, Liu, Hongwei, Varshney, Pramod K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Computer vision convolutional neural network High resolution Hyperspectral images Hyperspectral imaging Image acquisition image fusion Image processing Image resolution Machine learning meta-learning multispectral images probabilistic generative model Probabilistic logic Sensors Spatial resolution Spectra Task analysis
ISSN:	1057-7149, 1941-0042
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