Multimodal Remote Sensing Classification on LCZ HK 50 samples per class (train)
83.3Class 1 Accuracy
MSFMamba
Updated 9d ago
Evaluation Results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025.09 | 83.3 | 90.4 | 87.6 | 88.49 | 73.64 | 96.38 | 86.84 | 93.42 | 88.57 | 96.55 | 92.31 | 94.89 | 61.02 | 86.9 | 87.38 | 97.57 | |
2025.09 | 80.77 | 95.35 | 95.43 | 94.42 | 97.05 | 99.02 | 90.16 | 99.87 | 97.14 | 99.66 | 98.58 | 97.48 | 91.94 | 96.93 | 93.52 | 98.53 | |
2025.09 | 78.14 | 93.16 | 92.59 | 91.79 | 89.15 | 92.03 | 93.94 | 94.74 | 98.57 | 100 | 97.63 | 95.59 | 90.82 | 90.02 | 84.17 | 99.1 | |
2025.09 | 77.62 | 91.98 | 90.09 | 90.38 | 66.67 | 97.1 | 93.74 | 94.74 | 100 | 93.1 | 96.45 | 98.08 | 87.76 | 91.11 | 77.22 | 97.61 | |
2025.09 | 76.4 | 92.51 | 92.36 | 91.16 | 90.67 | 93.83 | 87.31 | 99.68 | 99.33 | 95.84 | 96.67 | 97.17 | 87.02 | 94.63 | 85.01 | 97.07 | |
2025.09 | 74.87 | 88.26 | 87.41 | 85.95 | 96.12 | 93.48 | 76.08 | 89.47 | 98.57 | 83.06 | 94.08 | 93.04 | 80.41 | 87.99 | 68.66 | 98.55 | |
2025.09 | 72.46 | 90.87 | 89.47 | 89.09 | 80.62 | 97.46 | 81.7 | 98.68 | 92.86 | 94.25 | 89.94 | 94.76 | 84.9 | 92.82 | 85.78 | 96.91 | |
2025.09 | 68.67 | 90.59 | 88.73 | 85.55 | 34.11 | 97.1 | 78.97 | 98.68 | 87.14 | 95.4 | 100 | 96.87 | 84.9 | 80.97 | 89.73 | 99.61 | |
2025.09 | 64.37 | 88.38 | 88.03 | 86.09 | 95.35 | 89.13 | 80.9 | 97.37 | 100 | 95.4 | 93.49 | 94.7 | 82.45 | 71.76 | 81.28 | 98.12 | |
2025.09 | 53.53 | 89.4 | 88.81 | 87.29 | 86.82 | 97.46 | 91.97 | 97.37 | 98.57 | 94.25 | 98.22 | 94.76 | 84.9 | 82.37 | 74.65 | 99.69 |