Research Article

Nested Transformers for Hyperspectral Image Classification

Table 3

Classification accuracy of different sampling rates for each dataset (%).

SalinasSampling rate
1%3%5%

CNN94.3496.5798.93
ViT92.3795.6898.66
Swin95.0697.7398.76
NesT98.5599.4299.61
Indian PinesSampling rate
1%3%5%
CNN62.1475.9286.75
ViT71.9082.5190.20
Swin64.8872.8775.71
NesT69.7484.7290.37
Tea FarmSampling rate
1%3%5%
CNN90.0696.0298.39
ViT91.4995.3697.29
Swin94.0695.4996.18
NesT95.8198.5299.25
XionganSampling rate
1%3%5%
CNN98.4598.9399.70
ViT98.3299.4299.73
Swin99.2699.7999.90
NesT98.3199.5299.80