Hyperspectral Data Classification Algorithm considering Spatial Texture Features

Table 1

Quantitative assessment of Salinas.

Evaluation index	OF				PCA				SF
Class 1	99.54	99.90	99.85	99.75	88.61	92.48	93.31	95.61	98.85	99.77	99.62	99.38
CA (%)	±0.18	±0.08	±0.09	±0.15	±0.99	±1.11	±0.68	±1.05	±0.43	±0.13	±0.15	±027
Class 2	99.56	99.89	99.83	9922	99.51	99.69	99.84	99.86	99.37	99.89	99.81	99.69
CA (%)	±0.16	±0.06	±0.07	±0.07	±0.!7	±0.13	±0.03	±0.02	±0.21	±0.05	±0.04	±0.17
Class 3	99.33	9954	99.32	9955	95.40	9736	97.82	98.52	99.23	99.52	99.34	99.48
CA (%)	±0.14	±0.06	±0.08	±0.11	±0.39	±0.25	±023	±0.17	±0.19	±0.06	±0.08	±0.13
Class 4	99.57	99.82	99.78	99.76	99.62	99.79	99.81	99.84	99.78	99.86	99.84	99.85
CA (%)	±021	±0.08	±0.10	±0.12	±0.18	±0.11	±0.09	±0.09	±0.13	±0.08	±0.09	±0.08
Class 5	99.57	99.74	99.72	99.66	99.56	99.66	99.73	99.74	99.55	99.74	99.72	99.65
CA (%)	±0.12	±0.05	±0.05	±0.09	±0.13	±0.09	±004	±0.05	±0.15	±0.04	±0.06	±0.08
Class 6	83.29	94.05	92.19	91.08	76.58	87.84	90.13	92.78	84.58	94.78	92.82	91.85
CA (%)	±082	±0.37	±035	±0.32	±1.13	±0.64	±052	±0.45	±0.79	±0.41	±0.34	±030
Class 7	81.35	72.74	74.88	77.01	62.97	6655	66.79	67.46	81.18	73.01	74.74	77.19
CA (%)	±1.03	±0.92	±081	±0.73	±1.00	±1.04	±0.76	±0.66	±1.10	±0.92	±0.82	±0.89
OA (%)	90.15	91.09	91.08	9132	82.53	87.11	87.93	89.04	90.45	91.37	91.22	91.57
	±0.22	±0.23	±026	±0.16	±0.17	±0.22	±024	±0.25	±0.23	±027	±0.23	±0.19
Kappa (%)	87.72	88.88	88.87	89.18	7821	83.91	84.93	86.32	88.09	8922	89.05	89.48
	±027	±0.29	±032	±0.21	1021	±0.28	±030	±0.31	±0.29	±034	±0.29	±024
AA (%)	94.60	95.10	95.08	9523	88.89	91.91	92.49	93.40	94.65	9522	95.13	95.30
	±0.11	±0.13	±0.14	±0.08	±0.16	±0.24	±0.18	±0.21	±0.14	±0.14	±0.13	±0.12