A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring

Hyperspectral super-resolution is commonly accomplished by the fusing of a hyperspectral imaging of low spatial resolution with a multispectral image of high spatial resolution, and many tensor-based approaches to this task have been recently proposed. Yet, it is assumed in such tensor-based methods...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 47; no. 6; pp. 4684 - 4698
Main Authors:	Wang, Yinjian, Li, Wei, Gui, Yuanyuan, Du, Qian, Fowler, James E.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.06.2025
Subjects:	Anisotropic Degradation Hyperspectral imaging hyperspectral super-resolution Image fusion Mathematical models Matrix decomposition nonconvex surrogate Optimization recoverability sparse coding Spatial resolution Superresolution tensor factorization Tensors Vectors
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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