Skip to main content

Table 13 Detailed classification test results for the Salinas Dataset in terms of Precision, Recall, and F1-Score. Testing was done with PCA 30 CEU-Net no-patching with a 75%/25% Training/Testing split

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

Class Labels

Precision

Recall

f1-score

Support

Broccoli Green I

1.00

1.00

1.00

505

Broccoli Green II

1.00

1.00

1.00

931

Fallow

1.00

1.00

1.00

492

Fallow Rough Plow

0.99

0.99

0.99

345

Fallow Smooth

0.99

1.00

1.00

686

Stubble

1.00

1.00

1.00

957

Celery

1.00

1.00

1.00

925

Grapes Untrained

0.93

0.91

0.92

2842

Soil Vineyard Develop

1.00

1.00

1.00

1559

Corn Sensed Green Weeds

0.99

0.99

0.99

789

Lettuce Romaine 4wk

1.00

1.00

1.00

276

Lettuce Romaine 5wk

1.00

1.00

1.00

462

Lettuce Romaine 6wk

1.00

0.98

0.99

218

Lettuce Romaine 7wk

0.99

1.00

0.99

276

Vineyard Untrained

0.87

0.89

0.88

1818

Vineyard Vertical

1.00

0.99

1.00

452

Accuracy

  

0.96

13533

Macro Average

0.98

0.98

0.98

13533

Weighted Average

0.96

0.96

0.96

13533