Spectral Unmixing With Perturbed Endmembers | Zendy

Reza Arablouei | Zendy

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Spectral Unmixing With Perturbed Endmembers

Author(s) -

Reza Arablouei

Publication year - 2018

Publication title -

ieee transactions on geoscience and remote sensing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.141

H-Index - 254

eISSN - 1558-0644

pISSN - 0196-2892

DOI - 10.1109/tgrs.2018.2852745

Subject(s) - hyperspectral imaging , algorithm , fisher information , computer science , perturbation (astronomy) , matrix decomposition , mathematics , convergence (economics) , mathematical optimization , artificial intelligence , eigenvalues and eigenvectors , statistics , physics , quantum mechanics , economics , economic growth

We consider the problem of supervised spectral unmixing with a fully-perturbed linear mixture model where the given endmembers, as well as the observations of the spectral image, are subject to perturbation due to noise, error, or model mismatch. We calculate the Fisher information matrix and the Cramer-Rao lower bound associated with the estimation of the abundance matrix in the considered fully-...

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