Open AccessSupervised non-negative tensor factorization for automatic hyperspectral feature extraction and target discrimination
Author(s) -
Dylan Anderson,
Aleksander Bapst,
Joshua J. Coon,
Aaron J. Pung,
Michael W. Kudenov
Publication year - 2017
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2267730
Subject(s) - hyperspectral imaging , discriminative model , feature extraction , pattern recognition (psychology) , artificial intelligence , computer science , support vector machine , classifier (uml) , matrix decomposition , non negative matrix factorization , eigenvalues and eigenvectors , physics , quantum mechanics
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