Table 2.
Classification accuracies (%) achieved using 40 selected bands in Indian Pines with KNN classifier.
| Class | Algorithm | ||||||
|---|---|---|---|---|---|---|---|
| Accuracy (%) | |||||||
| MVPCA | WaLuDi | DBSCAN | FDPC | LP | ISSC | TLS | |
| Alfalfa | 66.8 | 54.6 | 50.5 | 39.2 | 33.7 | 34.2 | 45.4 |
| Corn-notill | 60.5 | 71.3 | 69.6 | 71 | 64.3 | 75.8 | 73.7 |
| Corn-mintill | 41.5 | 57.4 | 60 | 66.8 | 48.7 | 65.2 | 66.8 |
| Corn | 48.4 | 57.4 | 57.7 | 58.3 | 53.8 | 53.1 | 60.1 |
| Grass-pasture | 82.6 | 88.7 | 86.2 | 85 | 88.4 | 82.1 | 84.4 |
| Grass-trees | 93.1 | 94.5 | 95 | 94.3 | 93.3 | 96.7 | 96 |
| Grass-pasture-mowed | 45.2 | 44.8 | 42.1 | 37.3 | 71.7 | 92 | 45.2 |
| Hay-windrowed | 97.6 | 96.3 | 96.6 | 95.8 | 98.1 | 96.7 | 96.6 |
| Oats | 29.8 | 24.2 | 27 | 24.4 | 38.3 | 61.2 | 29.7 |
| Soybean-notill | 59.5 | 76.2 | 73.7 | 68.3 | 67.2 | 79.4 | 75.7 |
| Soybean-mintill | 77.4 | 79.3 | 81.5 | 82.6 | 82.9 | 82.5 | 84.2 |
| Soybean-clean | 43.1 | 69.6 | 71 | 72.2 | 58.9 | 83.3 | 72 |
| Wheat | 93 | 97.7 | 98.4 | 98.1 | 96.2 | 96.2 | 95.4 |
| Woods | 93.6 | 94.4 | 93.3 | 93.5 | 94.6 | 96.8 | 95.8 |
| Buildings-grass-trees-drives | 42.7 | 52.7 | 51.9 | 50.4 | 54.9 | 53.6 | 55.1 |
| Stone-steel-towers | 94.9 | 76.3 | 78.4 | 83.6 | 69.7 | 80.9 | 82.4 |
|
| |||||||
| AA | 66.8 | 70.9 | 70.6 | 70 | 69.7 | 76.9 | 72.4 |
| OA | 74 | 77.8 | 76.2 | 77.1 | 75.3 | 79.7 | 80.8 |
| Variance | 515.4 | 421.4 | 421.1 | 487.7 | 410.0 | 326.2 | 399.3 |