Hyperspectral Band Selection on Pavia University (PU) (test)
69.35Overall Accuracy (OA)SGBR-HC
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SGBR-HCNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 69.35 | 66.04 | 0.594 | |
| BS-NetsNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 68.5 | 65.48 | 0.583 | |
| ASPS-MNNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 68.17 | 66.57 | 0.58 | |
| CHBSNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 68.08 | 66.02 | 0.579 | |
| NGNMFNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 67.97 | 66.12 | 0.582 | |
| Random-mNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 67.6 | 65.48 | 0.574 | |
| All bands (103)Number of bands (m)=103, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 67.11 | 63.94 | 0.566 | |
| FNGBSNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 66.03 | 65.01 | 0.562 | |
| S4PNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 65.75 | 66.11 | 0.556 | |
| mRMRNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 65.07 | 63.51 | 0.546 | |
| Dropout CAENumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 64.73 | 63.17 | 0.54 | |
| DEHFNumber of bands (m)=20.0±1.3, Classifier architecture=17×17-patch UNet-DS, Number of seeds=52026.06 | 64.61 | 64.64 | 0.543 |