Hyperspectral Image Classification on Houston 2013 (test)
99.37Overall Accuracy (OA)IFGNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IFGNet2026.05 | 99.37 | 99.5 | 0.9932 | — | — | |
| RSCNet2026.04 | 92.66 | 93.76 | 0.9204 | — | — | |
| S2ENet2026.05 | 92.66 | 93.51 | 0.9203 | — | — | |
| ExViT2026.05 | 92.31 | 93.31 | 0.9167 | — | — | |
| MS2CANet2026.05 | 92.19 | 93.09 | 0.9158 | — | — | |
| MFT2026.05 | 91.25 | 92.23 | 0.9051 | — | — | |
| MGMNet2026.04 | 90.98 | 91.87 | 0.902 | — | — | |
| HCT2026.04 | 90.66 | 92.07 | 0.8986 | — | — | |
| GCCQTNet2026.04 | 90.4 | 91.48 | 0.8959 | — | — | |
| CHNet2026.04 | 90.3 | 91.75 | 0.8947 | — | — | |
| MACN2026.04 | 89.81 | 91.33 | 0.8893 | — | — | |
| S2ENet2026.04 | 89.56 | 91.5 | 0.8869 | — | — | |
| M2FNet2026.05 | 89.46 | 90.93 | 0.8858 | — | — | |
| S2FinSamples per class=102025.10 | 89.19 | 90.75 | 0.8831 | — | — | |
| CALC2026.05 | 88.12 | 90.02 | 0.8712 | — | — | |
| MICF-Net2026.04 | 88.09 | 89.65 | 0.8712 | — | — | |
| AsyFFNet2026.04 | 87.95 | 89.81 | 0.8696 | — | — | |
| NCGLFSamples per class=102025.10 | 87.83 | 89.05 | 0.8684 | — | — | |
| MACNSamples per class=102025.10 | 87.54 | 89.48 | 0.8654 | — | — | |
| GLTNet2026.05 | 87.54 | 89.27 | 0.8654 | — | — | |
| ExViT2026.04 | 87.42 | 89.37 | 0.8638 | — | — | |
| Fusion-HCTSamples per class=102025.10 | 87.26 | 89.72 | 0.8626 | — | — | |
| MSFMambaSamples per class=102025.10 | 86.64 | 89.02 | 0.8557 | — | — | |
| UACLSamples per class=102025.10 | 86.42 | 88.34 | 0.8533 | — | — | |
| FusAtNet2026.04 | 85.32 | 87.56 | 0.8412 | — | — | |
| CALCSamples per class=102025.10 | 85.01 | 86.11 | 0.8379 | — | — | |
| AsyFFNetSamples per class=102025.10 | 80.66 | 81.49 | 0.7908 | — | — | |
| FusAtNetSamples per class=102025.10 | 77.09 | 79.53 | 0.7524 | — | — |