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Table 10 Detailed ANOVA Single Factor p-value results between all semantic segmentation methods as shown in Table 5. With the accepted \(\alpha\) = 0.05, all p-values are well under the alpha, and therefore the tests are statistically significant

From: CEU-Net: ensemble semantic segmentation of hyperspectral images using clustering

ANOVA

OA

AA

Kappa

OA

AA

Kappa

 

IP (k = 2)

Salinas (k = 3)

p-value (\(\alpha\) = 0.05)

8.58E−27

2.07E−26

9.12E−28

7.51E−14

8.78E−09

1.39E−16

 

KSC (k = 2)

Botswana (k = 3)

p-value (\(\alpha\) = 0.05)

1.41E−11

2.19E−12

7.42E−14

5.31E−18

6.01E−18

5.73E−20

 

PU (k = 2)

Houston (k = 2)

p-value (\(\alpha\) = 0.05)

5.71E−16

6.17E−17

5.4E−16

1.03E−20

1.65E−18

2.66E−21