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Table 18 Indian Pines Confusion Matrix numeric values for PCA 30 CEU-Net no patching with a 75%/25% Training/Testing split

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

 

Alfalfa

Corn 1

Corn 2

Corn 3

Grass 1

Grass 2

Grass 3

Hay

Oats

Soybean 1

Soybean 2

Soybean 3

Wheat

Woods

Buildings etc.

Stone etc.

Alfalfa

7

0

0

0

0

0

0

2

0

1

0

0

0

0

0

0

Corn 1

0

306

5

6

0

1

0

0

0

20

35

5

0

0

0

0

Corn 2

0

1

191

7

0

1

0

0

0

1

15

7

0

0

0

0

Corn 3

0

0

2

43

2

2

0

1

0

0

0

1

0

0

0

0

Grass 1

0

1

0

0

110

2

0

0

0

0

1

2

0

1

3

0

Grass 2

0

0

0

0

1

173

0

0

0

0

0

0

0

0

0

0

Grass 3

0

0

0

0

0

0

11

0

0

0

0

0

0

0

0

0

Hay

3

0

0

0

0

0

0

107

0

0

0

0

0

0

0

0

Oats

0

0

0

0

0

0

0

0

2

0

0

0

0

0

1

0

Soybean 1

0

5

1

1

1

0

0

0

0

222

12

4

0

0

0

0

Soybean 2

0

10

9

1

0

1

1

0

0

12

559

10

0

0

2

0

Soybean 3

0

1

7

0

0

0

0

0

0

1

4

144

0

0

1

0

Wheat

0

0

0

0

0

0

0

0

0

0

0

0

43

0

0

0

Woods

0

0

0

0

0

0

0

0

0

0

0

0

0

294

7

0

Buildings etc.

0

0

0

0

2

11

0

0

0

0

0

0

0

21

68

1

Stone etc.

0

1

0

0

0

0

0

0

0

0

2

0

0

0

0

24

  1. Highest performing values are highlighted in bold