Pavia University
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Hyperspectral Image Classification | Pavia University (test) | Overall Accuracy (OA)100 | 103 | |
| Hyperspectral Image Classification | Pavia University (80% test) | Overall Accuracy (OA)99.52 | 46 | |
| Hyperspectral Image Super-Resolution | Pavia University | mERGAS0.2152 | 40 | |
| Hyperspectral Image Classification | Pavia University | Overall Accuracy (OA)100 | 35 | |
| Random Band Masking Reconstruction | Pavia University (test) | PSNR34.22 | 30 | |
| Hyperspectral Image Classification | Pavia University (PU) HU-to-PU (test) | Overall Accuracy (OA)0.8482 | 23 | |
| Hyperspectral Image Super-Resolution | Pavia University Mean value of 80 LR HSI-HR MSI configurations | RMSE0.0216 | 20 | |
| Hyperspectral Image Classification | Pavia University Five labeled samples per class (test) | Class 1 Accuracy98.79 | 15 | |
| Hyperspectral Image Classification | Pavia University 1.0 (test) | Overall Accuracy98.59 | 14 | |
| Hyperspectral Image Classification | Pavia University (5% samples per class) | Overall Accuracy99.92 | 13 | |
| HSR | Pavia University | PSNR27.9 | 12 | |
| Biophysical Indices Consistency | Pavia University | NDVI CC94 | 10 | |
| Hyperspectral Image Super-Resolution | Pavia University (test) | RSNR27.5 | 10 | |
| Hyperspectral Image Super-Resolution | Pavia University without 1 band HR image Mean value of 70 LR HSI-HR MSI configurations (test) | RMSE0.0163 | 9 | |
| Pixel Classification | Pavia University (PU) Modernized (test) | Overall Accuracy73.3 | 8 | |
| Tensor Train Decomposition | Pavia University | Fit61 | 4 | |
| Hyperspectral Image Classification | Pavia University scene (test) | Inference Time (s)8.68 | 3 |
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