. 2019 Jan 24;19(3):479. doi: 10.3390/s19030479

Table 5.

Classification results with Gaussian noise on three HSIs.

Images		RPCA_2,1	RPCA	PCA	IFRF	Origin
Indian Pines image	OA	0.9004 ± 0.0103	0.8615 ± 0.0137	0.8736 ± 0.0067	0.86261 ± 0.0937	0.5008 ± 0.006
	AA	0.9198 ± 0.0179	0.8481 ± 0.0261	0.8573 ± 0.024	0.8367 ± 0.0231	0.4530 ± 0.0256
	Kappa	0.8863 ± 0.011	0.8426 ± 0.0143	0.8561 ± 0.0257	0.8434 ± 0.00763	0.4230 ± 0.0069
University of Pavia image	OA	0.9261 ± 0.0041	0.9156 ± 0.004	0.9116 ± 0.0057	0.9182 ± 0.0035	0.6721 ± 0.0079
	AA	0.9212 ± 0.0054	0.9085 ± 0.0066	0.9055 ± 0.0107	0.9105 ± 0.0077	0.6162 ± 0.0088
	Kappa	0.9012 ± 0.0055	0.8871 ± 0.0055	0.8815 ± 0.0078	0.8906 ± 0.0048	0.5527 ± 0.0097
Salinas image	OA	0.9329 ± 0.0078	0.911 ± 0.0062	0.9125 ± 0.0072	0.9095 ± 0.0108	0.6658 ± 0.0101
	AA	0.9523 ± 0.0051	0.9268 ± 0.0054	0.9294 ± 0.0089	0.9247 ± 0.0102	0.7088 ± 0.0098
	Kappa	0.9253 ± 0.0086	0.901 ± 0.0069	0.9027 ± 0.008	0.8994 ± 0.012	0.625 ± 0.0106