Hyperspectral Image Classification on Gulfport of Mississippi
100Class 1 AccuracyMixerCA
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MixerCA2026.04 | 100 | 99.88 | 68.04 | 97.42 | 86.34 | 97.9 | 95.28 | 91.6 | 93.6 | — | — | |
| Swin T.2026.04 | 82.29 | 97.28 | 36.07 | 94.95 | 77.23 | 96.14 | 89.91 | 80.66 | 86.34 | 14.17 | 0 | |
| MLP2026.04 | 78.86 | 97.83 | 48.4 | 71.55 | 77.42 | 94.68 | 86.58 | 78.12 | 81.67 | 19.04 | 0 | |
| 3D-CNN2026.04 | 74.29 | 98.49 | 39.73 | 91.55 | 94.88 | 92.1 | 89.72 | 81.84 | 86.14 | 12.83 | 0 | |
| SVM2026.04 | 69.71 | 99.03 | 38.13 | 81.44 | 72.49 | 85.24 | 83.45 | 74.34 | 77.68 | 27.85 | 0 | |
| ViT2026.04 | 62.86 | 96.56 | 26.48 | 98.87 | 75.52 | 97.77 | 89.57 | 76.34 | 85.73 | 14.31 | 0 | |
| PMI-CNN2026.04 | 44.57 | 99.76 | 35.39 | 98.35 | 88.24 | 97.94 | 91.64 | 77.38 | 88.61 | 8.69 | 0 | |
| HybridnSN2026.04 | 42.86 | 98.91 | 75.34 | 87.01 | 82.92 | 99.01 | 92.37 | 81.01 | 89.57 | 8.22 | 0 | |
| Tri-CNN2026.04 | 17.71 | 98.31 | 39.5 | 99.9 | 88.43 | 93.48 | 89.32 | 72.89 | 85.46 | 14.42 | 0 | |
| 2D-CNN2026.04 | 14.86 | 98.67 | 27.85 | 92.89 | 87.67 | 97.94 | 89.03 | 69.98 | 84.91 | 12.32 | 0 |