Multimodal Remote Sensing Classification on Augsburg HSI+SAR (test)
97.78Class Accuracy 1MSFMamba
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| MSFMambatraining samples per class=1002025.09 | 97.78 | 89.61 | 62.06 | 94.73 | 96.63 | 66.6 | 77 | 90.81 | 83.49 | 87.13 | |
| SS-MAEtraining samples per class=1002025.09 | 97.52 | 89.21 | 75.58 | 95.56 | 98.11 | 71.52 | 80.98 | 91.73 | 86.93 | 88.4 | |
| HLMambatraining samples per class=1002025.09 | 97.51 | 89.07 | 35.54 | 96.25 | 93.68 | 89.32 | 81.26 | 90.31 | 83.23 | 86.41 | |
| BDGFtraining samples per class=1002025.09 | 97.03 | 91.74 | 87.28 | 96.13 | 97.2 | 84.06 | 77.41 | 93.57 | 90.12 | 90.93 | |
| MACNtraining samples per class=1002025.09 | 96.84 | 86.89 | 73.21 | 94.48 | 96.42 | 61.55 | 79.3 | 89.98 | 84.1 | 86.01 | |
| Fusion-HCTtraining samples per class=1002025.09 | 96.32 | 85.89 | 78.81 | 94.32 | 96.84 | 62.72 | 74.2 | 89.65 | 84.15 | 85.6 | |
| CALCtraining samples per class=1002025.09 | 95.67 | 89.96 | 51.37 | 90.04 | 55.79 | 96.5 | 76.85 | 88.79 | 79.46 | 84.29 | |
| AsyFFNettraining samples per class=1002025.09 | 94.32 | 85.8 | 85.28 | 91.51 | 96.84 | 69.64 | 82.66 | 88.91 | 86.58 | 84.62 | |
| UACLtraining samples per class=1002025.09 | 93.51 | 89.94 | 64.09 | 95.79 | 95.3 | 90.03 | 77.45 | 91.09 | 86.59 | 87.53 | |
| NCGLFtraining samples per class=1002025.09 | 92.32 | 89.55 | 70 | 94.38 | 93.96 | 73.4 | 80.03 | 90.23 | 84.81 | 86.37 |