Table 5 Overall accuracy in noisy environment
From: Multilayer graph spectral analysis for hyperspectral images
(Uniform/Gaussian) | Indian Pines | Salinas | |||
|---|---|---|---|---|---|
TS/C | Noise level | MPCA | MLG-MRC | MSPCA | MLG-MRC |
Setup 1 | Â | Â | Â | Â | Â |
5 | 5% | 0.7140/0.7012 | 0.7377/0.7493 | 0.8592/0.8670 | 0.9231/0.9159 |
10% | 0.7110/0.6702 | 0.7135/0.7276 | 0.8341/0.8421 | 0.8956/0.9023 | |
15% | 0.6868/0.6507 | 0.7133/0.7215 | 0.8107/0.8215 | 0.8815/0.8975 | |
5 10 | 5% | 0.7613/0.7753 | 0.8033/0.8056 | 0.9509/0.9647 | 0.9632/0.9684 |
10% | 0.7522/0.7498 | 0.7788/0.7984 | 0.9408/0.9431 | 0.9445/0.9491 | |
15% | 0.7317/0.7382 | 0.7544/0.7845 | 0.9381/0.9368 | 0.9421/0.9317 | |
Setup 2 | Â | Â | Â | Â | Â |
5 5 | 5% | 0.6839/0.6740 | 0.7023/0.6898 | 0.8591/0.8679 | 0.9240/0.9050 |
10% | 0.6640/0.6501 | 0.6764/0.6647 | 0.8471/0.8512 | 0.9045/0.8878 | |
15% | 0.6413/0.6247 | 0.6687/0.6427 | 0.8317/0.8421 | 0.8915/0.8775 | |
5 10 | 5% | 0.7579/0.7408 | 0.8022/0.7810 | 0.9682/0.9621 | 0.9735/0.9633 |
10% | 0.7409/0.7333 | 0.7800/0.7762 | 0.9521/0.9450 | 0.9547/0.9532 | |
15% | 0.7208/0.7235 | 0.7695/0.7584 | 0.9437/0.9416 | 0.9305/0.9241 | |