Super-Resolution Hyperspectral Reconstruction With Majorization-Minimization Algorithm and Low-Rank Approximation

Hyperspectral imaging (HSI) has become an invaluable imaging tool for many applications in astrophysics or Earth observation. Unfortunately, direct observation of hyperspectral images is impossible since the actual measurements are 2-D and suffer from strong spatial and spectral degradations, especi...

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Bibliographic Details
Published in:	IEEE transactions on computational imaging Vol. 8; pp. 260 - 272
Main Authors:	Abi-Rizk, Ralph, Orieux, Francois, Abergel, Alain
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation Astrophysics Computer Science deconvolution Detectors Extraterrestrial measurements Hyperspectral imaging Image Processing Image reconstruction Image resolution Imaging Instruments Integral field spectroscopy Inverse problems Mathematical analysis Optimization Regularization Spatial resolution Spectra Spectral bands spectral unmixing super resolution Three-dimensional displays Super Resolution Deconvolution Inverse Problems Hyperspectral Imaging Spectral unmixing
ISSN:	2573-0436, 2333-9403, 2333-9403
Online Access:	Get full text
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