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

Table 1

Information for Indian Pines and KSC data sets.

No	Indian Pines	Samples		KSC	Samples
	Class name	Train	Test	Class name	Train	Test
1	Alfalfa	14	40	Scrub	190	571
2	Corn-no till	359	1075	Willow swamp	61	182
3	Corn–min till	209	625	Cabbage hamm	64	192
4	Corn	59	175	Cabbage palm	63	189
5	Grass-pasture	124	373	Slash pine	40	121
6	Grass-trees	187	560	Oak	57	172
7	Grass-past. moved	6	20	Hardwood swamp	264	791
8	Hay-windrowed	122	367	Graminoid marsh	108	323
9	Oats	5	15	Spartina marsh	130	390
10	Soybean-no till	242	726	Cattail marsh	101	303
11	Soybean-min till	617	1851	Salt marsh	105	314
12	Soybean-clean till	154	460	Mud flats	126	377
13	Wheat	53	159	Water	232	695
14	Woods	324	970	—
15	Bldg-Grass-Tree	95	285	—
16	Stone-steel towers	24	71	—
Total		2594	7772		1541	3670