Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification


The one-against-one (OAO) strategy is commonly employed with classifiers-such as support vector machines-which inherently provide binary two-class classification in order to handle multiple classes. This OAO strategy is introduced for the classification of hyperspectral imagery using discriminant analysis within kernel-induced feature spaces, producing a… (More)
DOI: 10.1109/TGRS.2013.2272760


19 Figures and Tables


Citations per Year

Citation Velocity: 36

Averaging 36 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.