Table 3 The detailed classification accuracies of all the categories for Pavia University with NG-APC model
From: A hyperspectral image classification algorithm based on atrous convolution
| Â | Asphalt (%) | Meadows (%) | Gravel (%) | Trees (%) | Painted metal (%) | Bare soil (%) | Bitumen (%) | Bricks (%) | Shadows (%) |
|---|---|---|---|---|---|---|---|---|---|
Asphalt | 99.17 | 0.00 | 0.60 | 0.00 | 0.00 | 0.08 | 0.00 | 0.15 | 0.00 |
Meadows | 0.00 | 98.23 | 0.00 | 0.16 | 0.00 | 1.61 | 0.00 | 0.00 | 0.00 |
Gravel | 0.24 | 0.00 | 97.62 | 0.00 | 0.00 | 0.00 | 0.00 | 2.14 | 0.00 |
Trees | 0.00 | 2.77 | 0.00 | 96.74 | 0.00 | 0.33 | 0.00 | 0.16 | 0.00 |
Sheets | 0.00 | 0.00 | 0.00 | 0.00 | 100 | 0.00 | 0.00 | 0.00 | 0.00 |
Bare soil | 0.00 | 1.19 | 0.00 | 0.30 | 0.00 | 98.51 | 0.00 | 0.00 | 0.00 |
Bitumen | 3.38 | 0.00 | 0.00 | 0.00 | 0.00 | 1.88 | 94.74 | 0.00 | 0.00 |
Bricks | 3.26 | 0.14 | 0.54 | 0.00 | 0.00 | 1.22 | 0.00 | 94.84 | 0.00 |
Shadows | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 100 |