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Table 22 Botswana 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

 

Water

Grasses 1

Grasses 2

Grasses 3

Reeds 1

Riparian

Firescar 2

Island Interior

Acacia 1

Acacia 2

Acacia 3

Mopane 1

Mopane 2

Exposed Soils

Water

52

0

0

0

0

0

0

0

0

0

0

0

0

0

Grasses 1

0

19

0

0

0

0

0

0

0

0

0

0

0

0

Grasses 2

0

0

66

1

0

0

0

0

0

0

0

0

0

0

Grasses 3

0

0

0

51

0

0

0

0

0

0

0

0

0

0

Reeds 1

0

0

0

1

65

2

0

0

0

0

0

0

0

0

Riparian

0

0

0

0

2

53

0

0

3

0

0

0

1

0

Firescar 2

0

0

0

0

0

0

67

0

0

0

0

0

0

0

Island Interior

0

0

0

0

0

0

0

56

0

0

0

0

0

0

Acacia 1

0

0

0

0

0

0

0

0

88

0

0

0

0

0

Acacia 2

0

0

0

0

0

0

0

0

0

66

0

0

0

0

Acacia 3

0

0

1

0

0

0

0

1

0

2

85

0

0

0

Mopane 1

0

0

0

0

0

0

0

0

0

0

0

38

1

0

Mopane 2

0

0

0

0

0

0

0

0

0

0

0

5

61

0

Exposed Soils

0

0

0

0

0

0

0

0

0

0

0

0

0

25

  1. Highest performing values are highlighted in bold