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

Table 4

Overall accuracy, OA (%), and Kappa statistic, , of the KSC data set with different models. The best scores for each class are highlighted in bold face font, and the second best is underlined.

Feature		Raw	PCA	KPCARBF	KPCALap	KPCACau	KPCAHIST	A-KPCA	M-KPCA
# of features		176	3	8	56	18	55	14	12
SVM	C	534.66	279.17	430.54	663.98	181.02	346.69	117.38	165.69
params	σ	3.77	9.87	34.95	5.58	10.69	5.58	5.61	5.01
1		97.50	92.64	97.50	95.66	96.58	96.32	98.03	98.29
2		94.24	84.77	93.83	90.12	91.77	91.36	94.24	95.47
3		93.75	89.84	93.36	91.80	93.75	93.75	93.36	97.26
4		78.17	49.21	80.16	71.43	78.17	75.40	81.35	93.25
5		77.64	56.52	60.87	55.28	61.49	57.76	78.88	88.82
6		75.11	50.66	58.08	55.02	75.11	58.95	82.53	86.90
7		93.34	73.33	89.52	91.43	90.48	91.43	94.29	95.24
8		96.29	78.65	94.20	90.26	95.13	91.18	96.75	96.28
9		99.04	97.50	98.65	96.73	98.65	97.50	99.23	99.61
10		100	91.58	99.75	97.77	99.26	97.77	100	99.26
11		99.05	97.85	99.05	98.09	99.05	98.81	99.05	99.28
12		99.06	81.11	96.82	95.23	97.42	95.63	99.01	99.20
13		100	99.89	100	99.89	99.89	99.89	99.89	100
OA		95.51	86.53	93.78	91.65	94.34	92.59	96.14	97.52
		0.9522	0.8493	0.9347	0.9106	0.9407	0.9213	0.9601	0.9724