Research Article

Ensemble Learning Based Multiple Kernel Principal Component Analysis for Dimensionality Reduction and Classification of Hyperspectral Imagery

Figure 3

(a) False color image of KSC subscene and most informative principal components (PCs) for the subimage of KSC data: (b) 1st PC; (c) 1st KPCRBF; (d) 1st KPCLap; (e) 1st KPCCau; (f) 1st KPCHIST; (g) 1st A-KPC; (h) 1st M-KPC.
(a) Original
(b) 1st PC
(c) 1st KPCRBF
(d) 1st KPCLap
(e) 1st KPCCau
(f) 1st KPCHIST
(g) 1st A-KPC
(h) 1st M-KPC