A lattice matrix method for hyperspectral image unmixing

DOI10.1016/j.ins.2010.03.022zbMath1217.94018OpenAlexW1987924114MaRDI QIDQ545317

Gonzalo Urcid, Gerhard X. Ritter

Publication date: 22 June 2011

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2010.03.022

zbMATH Keywords

neural networksspectral unmixingabundance mapshyperspectral image analysis: endmember searchlattice algebra: affine independencelattice associative memorieslattice independencelattice matrices

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

On endmember identification in hyperspectral images without pure pixels: a comparison of algorithms, Sparsely connected autoassociative lattice memories with an application for the reconstruction of color images, Permutation-based finite implicative fuzzy associative memories, Interval-valued fuzzy morphological associative memories: some theoretical aspects and applications, Hyperspectral image unsupervised classification by robust manifold matrix factorization, Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction, Bilateral filter based total variation regularization for sparse hyperspectral image unmixing, Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning

Uses Software

• USGS Spectral Library

Cites Work

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