Nested Transformers for Hyperspectral Image Classification

Table 7

The classification accuracy of Xiongan (%).

Category	LR	SVM	RF	CNN	ViT	Swin	NesT
C01	33.37	72.12	87.56	99.60	99.73	99.84	99.94
C02	44.08	67.85	84.11	99.85	99.77	99.96	99.96
C03	0.00	76.37	87.96	98.82	99.60	99.61	99.98
C04	91.93	99.36	99.60	99.98	99.98	99.98	99.99
C05	51.95	66.66	81.62	99.84	99.75	99.80	99.91
C06	45.27	73.12	87.38	99.85	99.86	99.89	99.98
C07	0.00	93.05	94.13	99.81	99.96	99.85	99.89
C08	75.32	97.34	98.99	99.95	99.91	99.98	99.99
C09	64.04	95.22	99.30	99.82	99.98	99.97	99.99
C10	88.70	95.57	97.78	99.87	99.97	99.99	99.99
C11	0.00	0.00	86.78	95.16	98.46	99.55	99.80
C12	1.63	75.11	86.72	97.70	99.33	99.35	99.53
C13	49.91	64.19	81.12	99.85	99.68	99.80	99.82
C14	0.00	90.39	88.00	95.92	98.95	99.23	99.66
C15	51.67	66.64	81.88	98.22	99.07	99.02	99.49
C16	0.00	90.07	84.47	97.73	98.04	98.29	99.28
C17	0.00	0.00	97.16	96.27	99.07	97.08	97.41
C18	47.53	62.89	81.51	99.71	99.66	99.76	99.89
C19	0.00	88.11	90.82	98.81	99.61	99.83	99.81
C20	98.95	96.42	96.93	99.29	99.69	99.83	99.93
Overall accuracy	57.37	73.60	86.57	99.70	99.73	99.84	99.86