Table 6.

SURPCA_2,1 graph’s classification accuracy with different segmentation numbers.

Images	No. m of Superpixels	OA	AA	Kappa	Time (s)
Indian Pines image	104	0.9633 ± 0.0072	0.9507 ± 0.027	0.9581 ± 0.0091	12.43
	226	0.9703 ± 0.006	0.9687 ± 0.032	0.9661 ± 0.0062	17.96
	329	0.9721 ± 0.0053	0.9657 ± 0.0254	0.9682 ± 0.0069	21.80
University of Pavia image	195	0.9697 ± 0.0035	0.9473 ± 0.0061	0.9598 ± 0.0047	75.15
	386	0.9711 ± 0.0043	0.9564 ± 0.0084	0.9616 ± 0.0058	78.33
	594	0.9753 ± 0.0026	0.9614 ± 0.0046	0.9672 ± 0.0035	81.20
	813	0.975 ± 0.0018	0.9596 ± 0.0053	0.9668 ± 0.0024	85.97
Salinas image	187	0.9666 ± 0.0059	0.9743 ± 0.0064	0.9629 ± 0.0065	87.71
	389	0.978 ± 0.0042	0.9813 ± 0.003	0.9755 ± 0.0047	92.96
	593	0.9823 ± 0.0037	0.9826 ± 0.003	0.9804 ± 0.0041	98.91