Cloud and Shadow Segmentation on Landsat 8 RefUNet (test)
94.59Precision (Cloud)Cloud-Net+ + SDAA + FJL2
Evaluation Results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cloud-Net+ + SDAA + FJL2SDAA=true, Loss function=FJL22020.01 | 94.59 | 86.27 | 90.74 | 36.63 | 57.01 | 50.6 | 92.89 | 95.28 | 97.37 | 71.93 | 95.79 | |
| Cloud-Net+ + SDAA + FJL1SDAA=true, Loss function=FJL12020.01 | 94.43 | 86.52 | 91.17 | 36.48 | 58.22 | 49.42 | 93.06 | 95.37 | 97.46 | 72.02 | 95.87 | |
| RefUNet v22020.01 | 87.93 | — | 95.83 | — | 40.64 | 39 | — | 91.99 | 84.51 | — | 93.6 | |
| RefUNet v12020.01 | 85.49 | — | 97.17 | — | 41.36 | 9.03 | — | 89.52 | 84.31 | — | 93.43 |