Title :
Blind analysis of hyperspectral images via Canonical Correlation Analysis
Author :
Polat, Özgür Murat ; Özkazanç, Yakup
Abstract :
Extraction of scene components is one of the main problems in the analysis of remotely sensed hyperspectral images. Scene components can be identified by applications of blind methods. In this study, two novel applications of Canonical Correlation Analysis (CCA) are proposed for the blind analysis of hyperspectral images.
Keywords :
correlation methods; feature extraction; blind analysis; canonical correlation analysis; remotely sensed hyperspectral images; scene components extraction; Correlation; Hyperspectral imaging; Independent component analysis; Manganese; Principal component analysis;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Conference_Location :
Mugla
Print_ISBN :
978-1-4673-0055-1
Electronic_ISBN :
978-1-4673-0054-4
DOI :
10.1109/SIU.2012.6204741
