Classification on WHU-Hi-LongKou (0.1% train)
99.3Per-Class Accuracy (Class 1)LGEST
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LGEST2026.03 | 99.3 | 86.52 | 74.51 | 96.68 | 63.38 | 95.4 | 99.08 | 77.07 | 70.91 | 82.14 | 95.4 | 93.91 | |
| GSC-ViT2026.03 | 99.2 | 84.17 | 48.96 | 96.88 | 60.47 | 95.46 | 99.58 | 70.39 | 63.83 | 78.9 | 95.01 | 93.4 | |
| 2D CNN2026.03 | 99.13 | 64.75 | 0 | 91.14 | 19.05 | 96.45 | 98.9 | 70.66 | 21.95 | 61.31 | 91.17 | 88.12 | |
| SS-TMNet2026.03 | 99.1 | 81.33 | 20.6 | 94.74 | 62.91 | 96.05 | 98.62 | 74.95 | 54.39 | 73.23 | 93.78 | 91.71 | |
| Morphformer2026.03 | 98.36 | 87.14 | 26.74 | 94.45 | 57.82 | 96.77 | 98.73 | 66.03 | 45.97 | 71.81 | 93.54 | 91.37 | |
| SSFTT2026.03 | 98.31 | 75.38 | 2.39 | 94.44 | 37.26 | 96.02 | 97.58 | 57.93 | 23.32 | 64.3 | 91.92 | 89.16 | |
| HiT2026.03 | 97.34 | 75.16 | 9.61 | 94.04 | 38.35 | 95.44 | 97.69 | 76.45 | 44.58 | 67.69 | 92.28 | 89.69 | |
| SyCNN2026.03 | 97.26 | 83.74 | 3.11 | 93.53 | 57.19 | 92.14 | 98.77 | 62.39 | 58.03 | 70.04 | 92.4 | 89.88 | |
| 3D CNN2026.03 | 95.12 | 59.79 | 0 | 88.82 | 44.35 | 92.14 | 99.08 | 49.2 | 28.23 | 58.46 | 89.4 | 85.64 | |
| Deep ViT2026.03 | 92.45 | 67.76 | 0 | 92.51 | 10.18 | 75.2 | 99.22 | 61.26 | 49.91 | 60.35 | 89.15 | 85.51 | |
| Cross ViT2026.03 | 89.96 | 64.29 | 0 | 92.13 | 7.92 | 71.19 | 99.32 | 67.08 | 47.72 | 59.46 | 88.61 | 84.76 | |
| HybridSN2026.03 | 87.72 | 50.97 | 1.02 | 90.01 | 19.09 | 69.91 | 94.29 | 36.02 | 15 | 51.5 | 85.58 | 80.15 | |
| ViT2026.03 | 85.94 | 58.59 | 0 | 90.76 | 0 | 49.7 | 98.81 | 67.08 | 17.53 | 52.62 | 86.12 | 81.31 | |
| SVM2026.03 | 74.34 | 27.18 | 0 | 85.37 | 0 | 1.86 | 99.64 | 53.22 | 0 | 40.14 | 79.98 | 72.76 |