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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Autori principali:	Viet Khanh Ha, Jinchang Ren, Zheng Wang, Genyun Sun, Huimin Zhao, Stephen Marshall
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2022-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Auxiliary task convolutional neural networks (CNN) hyperspectral image (HSI) super-resolution (SR) multiscale spatial fusion
Accesso online:	https://ieeexplore.ieee.org/document/9779940/
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