Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image

DOI10.1137/21M1409354OpenAlexW3209789097MaRDI QIDQ5024384

Cédric Richard, Ricardo Augusto Borsoi, Konstantin Usevich, Clémence Prévost, David Brie, José Carlos Moreira Bermudez

Publication date: 31 January 2022

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/21m1409354

zbMATH Keywords

hyperspectral unmixingimage fusiontensor decompositionshyperspectral super-resolutionspectral variability

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

A fast sketching-based algorithm for rank-\((L,L,1)\) block term decomposition

Uses Software

• Tensorlab

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
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• The Generalized Eigenvalue Problem for Nonsquare Pencils Using a Minimal Perturbation Approach

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