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A Sturdy Nonlinear Hyperspectral Unmixing Algorithm Using Iterative Block- Coordinate Descent Algorithm
Author(s) -
Majeti Venkata Sireesha,
P. V. Naganjaneyulu,
K. Babulu
Publication year - 2019
Publication title -
international journal of intelligent engineering and systems
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.187
H-Index - 15
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2019.0630.18
Subject(s) - hyperspectral imaging , algorithm , endmember , non negative matrix factorization , coordinate descent , outlier , gradient descent , computer science , nonlinear system , block (permutation group theory) , mixing (physics) , estimator , iterative method , matrix decomposition , mathematics , pattern recognition (psychology) , artificial intelligence , eigenvalues and eigenvectors , artificial neural network , quantum mechanics , statistics , geometry , physics

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