Nested Transformers for Hyperspectral Image Classification

Table 6

The classification accuracy of Tea Farm (%).

Category	LR	SVM	RF	CNN	ViT	Swin	NesT
C01	86.69	81.96	86.11	99.45	98.76	98.91	99.43
C02	50.19	70.75	79.76	96.25	89.76	91.80	97.82
C03	93.42	94.01	94.94	98.80	96.11	96.38	99.55
C04	59.78	0.00	87.26	99.49	98.61	100.00	100.00
C05	96.65	96.36	96.56	99.12	98.90	98.29	99.72
C06	97.44	99.58	93.53	98.51	97.21	94.19	99.29
C07	89.16	92.55	94.10	92.48	91.69	84.76	98.57
C08	57.50	59.04	69.00	85.12	72.66	73.47	94.87
C09	99.73	99.90	99.86	99.90	99.83	100.00	100.00
C10	94.49	93.68	96.49	97.25	89.94	88.42	98.77
Overall accuracy	91.75	92.17	93.54	98.39	97.29	96.18	99.25