Table 2.

Indian Pines image classification results.

Method	RPCA2,1	RPCA	PCA	IFRF	Origion	RPCA2,1	RPCA	PCA	IFRF	Origin
Classifier	NN					SVM
C1	1	1	0.9870	0.9809	0.8051	1	1	1	1	0.9473
C2	0.9686	0.9442	0.9380	0.9487	0.4961	0.9676	0.9701	0.9295	0.9482	0.5169
C3	0.9667	0.9524	0.9718	0.9342	0.6572	0.9659	0.9679	0.9426	0.9574	0.3793
C4	0.9578	0.9698	0.9589	0.9122	0.3964	0.9819	0.9133	0.9383	0.9420	0.5671
C5	0.9868	0.9463	0.9384	0.9687	0.8225	0.9933	0.9856	0.9821	0.9868	0.8809
C6	0.9837	0.9833	0.9394	0.9483	0.7568	1	1	0.9986	0.9986	0.8476
C7	0.8686	0.7254	0.6164	0.8107	0.6786	1	0.9375	1	0.9886	0.9188
C8	1	1	1	1	0.9486	1	1	1	1	0.9367
C9	0.9800	0.7812	0.8496	0.7469	0.5042	1	1	1	1	0.8042
C10	0.9342	0.9139	0.9215	0.8742	0.6777	0.9647	0.9618	0.9743	0.9471	0.4916
C11	0.9721	0.9700	0.9748	0.9749	0.6933	0.9672	0.9604	0.9626	0.9677	0.5560
C12	0.9602	0.9024	0.9753	0.9344	0.6833	0.9854	0.9908	0.9658	0.9701	0.6454
C13	0.9705	1	0.9748	0.9935	0.9240	1	1	1	0.9987	0.9909
C14	0.9952	0.9895	0.9939	0.9915	0.9217	0.9954	0.9996	0.9975	0.9975	0.9190
C15	0.9624	0.9711	0.9768	0.9379	0.6666	0.9916	0.9937	0.9958	0.9897	0.7551
C16	0.9905	0.9881	0.9881	0.9881	0.9871	0.9866	0.9859	0.9712	0.9846	0.9825
OA	0.9706	0.9585	0.9594	0.9514	0.7077	0.9786	0.9759	0.9682	0.9713	0.6536
AA	0.9686	0.9399	0.9378	0.9341	0.7262	0.9875	0.9792	0.9787	0.9798	0.7587
Kappa	0.9664	0.9527	0.9536	0.9446	0.6633	0.9755	0.9724	0.9636	0.9672	0.6000