Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition

Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition

The hyperspectral image superresolution (HSI-SR) problem aims to improve the spatial quality of a low spatial resolution HSI by fusing the LR-HSI with the corresponding high spatial resolution multispectral image. The generated HSI with high spatial quality, i.e., the target high spatial resolution...

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Bibliographic Details
Main Authors: Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Hyperspectral image superresolution (HSI-SR)
image fusion
piecewise smoothness
sparsity
unidirectional total variation (TV)
Online Access:https://ieeexplore.ieee.org/document/9151315/

Internet

https://ieeexplore.ieee.org/document/9151315/

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