Multiscale Spatial Fusion and Regularization Induced Unsupervised Auxiliary Task CNN Model for Deep Super-Resolution of Hyperspectral Images

Multiscale Spatial Fusion and Regularization Induced Unsupervised Auxiliary Task CNN Model for Deep Super-Resolution of Hyperspectral Images

Hyperspectral images (HSI) feature rich spectral information in many narrow bands but at a cost of a relatively low spatial resolution. As such, various methods have been developed for enhancing the spatial resolution of the low-resolution HSI (Lr-HSI) by fusing it with high-resolution multispectral...

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Bibliographic Details
Main Authors: Viet Khanh Ha, Jinchang Ren, Zheng Wang, Genyun Sun, Huimin Zhao, Stephen Marshall
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Auxiliary task
convolutional neural networks (CNN)
hyperspectral image (HSI)
super-resolution (SR)
multiscale spatial fusion
Online Access:https://ieeexplore.ieee.org/document/9779940/

Internet

https://ieeexplore.ieee.org/document/9779940/

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