Building Height Estimation on Sentinel
1.89RMSET-SwinUNet (Transformer)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| T-SwinUNet (Transformer)Spatial res.=10 m grid, District=Europe (multi-country)2026.02 | 1.89 | — | — | |
| Transformer+CNN (DL)Spatial res.=10 m grid, District=Multi-country2026.02 | 3.5 | — | — | |
| SBHE (CNN)Spatial res.=10 m grid, District=Local2026.02 | 4.62 | — | — | |
| U-Net (DL)Spatial res.=10 m grid, District=Local2026.02 | 4.65 | — | — | |
| SEResNet (DL)Spatial res.=100 m grid, District=Global2026.02 | 5.26 | — | — | |
| Random Forest (ML)Spatial res.=10 m grid, District=Local2026.02 | 6.1 | — | — | |
| XGBoost (ML)Spatial res.=Per-bldg, District=Local2026.02 | — | — | 1.78 |