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Table 23 Houston 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

 

Grass 1

Grass 2

Turf

Trees

Soil

Water

Residential

Commercial

Roads

Highway

Railways

Lot 1

Lot 2

Court

Track

Grass 1

321

2

0

0

0

0

0

0

0

0

0

0

0

0

0

Grass 2

2

363

0

0

0

0

0

0

0

0

0

0

0

0

0

Turf

0

0

203

0

0

0

0

0

0

0

0

0

0

0

0

Trees

1

0

0

321

0

0

0

0

0

0

0

0

0

0

0

Soil

0

0

0

0

13

0

0

0

0

0

0

0

0

0

0

Water

0

0

0

0

0

80

0

0

0

0

0

0

0

0

0

Residential

0

2

0

0

0

0

43

2

0

0

0

0

1

0

0

Commercial

0

0

0

0

0

0

2

157

0

0

0

0

0

0

0

Roads

0

0

0

0

0

0

2

2

2

0

0

0

1

1

0

Highway

0

0

0

0

0

0

0

0

0

1

0

0

1

0

0

Railways

0

0

0

0

0

0

0

1

0

0

0

0

0

0

0

Lot 1

0

0

0

0

0

0

0

2

0

0

0

2

1

0

0

Lot 2

0

0

0

0

0

0

0

0

0

0

0

0

78

0

0

Court

0

0

0

0

0

0

1

0

0

0

0

0

0

124

0

Track

0

0

0

0

0

0

0

0

0

0

0

0

0

1

24

  1. Highest performing values are highlighted in bold