Nested Transformers for Hyperspectral Image Classification

Table 5

The classification accuracy of Indian Pines (%).

Category	LR	SVM	RF	CNN	ViT	Swin	NesT
C01	35.83	17.85	36.50	83.63	73.01	52.43	64.78
C02	60.89	56.72	64.20	73.40	78.47	57.31	83.72
C03	70.43	93.41	77.45	84.82	97.94	83.15	93.93
C04	48.10	0.00	69.52	94.21	96.65	100.00	94.40
C05	59.28	69.74	90.95	95.72	88.36	84.53	92.91
C06	72.60	67.31	80.95	93.07	98.31	97.19	91.20
C07	35.13	24.00	52.83	90.32	72.97	38.88	67.56
C08	96.73	96.96	99.74	95.78	98.76	95.95	98.15
C09	39.13	0.00	44.44	62.50	100.00	64.51	80.92
C10	62.17	48.87	71.30	85.27	90.85	73.88	95.46
C11	56.81	50.10	69.68	90.64	91.76	73.24	92.35
C12	28.94	26.66	62.92	77.40	80.69	47.49	72.48
C13	81.09	83.40	91.42	96.51	97.11	99.41	93.08
C14	76.48	72.62	87.75	98.96	97.76	91.89	97.54
C15	58.55	83.33	72.02	93.00	85.64	80.24	86.44
C16	78.26	95.78	83.78	88.57	76.85	41.15	72.58
Overall accuracy	63.67	58.35	74.68	86.75	90.20	75.71	90.37