Research Article
Deep Learning for Hyperspectral Data Classification through Exponential Momentum Deep Convolution Neural Networks
Table 6
Accuracy comparison of different classifier.
| Datasets | Measurements | SAE-LR | RBP-SVM | EFM-CNN-SVM | PCA-RBP-SVM | Spatial | Joint | Spatial | Joint | Spatial | Joint | Spatial | Joint |
| Pavia | Overall accuracy | 0.9514 | 0.9852 | 0.9455 | 0.9845 | 0.9625 | 0.9869 | 0.9448 | 0.9791 | average accuracy | 0.9401 | 0.9732 | 0.9370 | 0.9711 | 0.9522 | 0.9790 | 0.9281 | 0.9689 | Kappa coefficient | 0.9358 | 0.9850 | 0.9289 | 0.9794 | 0.9431 | 0.9859 | 0.9246 | 0.9758 |
| Indian | Overall accuracy | 0.9589 | 0.9735 | 0.9564 | 0.9722 | 0.9653 | 0.9876 | 0.9514 | 0.9701 | average accuracy | 0.9475 | 0.9669 | 0.9412 | 0.9615 | 0.9517 | 0.9795 | 0.9375 | 0.9599 | Kappa coefficient | 0.9594 | 0.9750 | 0.9539 | 0.9439 | 0.9605 | 0.9862 | 0.9547 | 0.9418 |
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