Research Article
SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images
Table 2
Performance of different depth SCU-nets.
| Model | PA (%) | MIOU (%) | FWIU (%) | PRM (m) |
| SCU-net-102-A | 91.53 | 55.84 | 85.83 | 42.71 | NoSCU-net-102-A | 91.36 | 53.77 | 85.52 | 42.70 | DeepLabV3 [20] | 87.87 | 49.70 | 81.80 | 58.00 | FCN-8s [10] | 90.55 | 51.16 | 84.61 | 14.70 | SegNet [17] | 91.17 | 50.60 | 85.35 | 28.40 | U-net [16] | 89.65 | 44.50 | 83.55 | 13.40 | FC-DenseNet [11] | 84.99 | 51.67 | 90.85 | 9.40 | DFCN121 [13] | 91.28 | 54.03 | 85.69 | 17.00 | SCU-net-51-A | 91.30 | 54.99 | 85.95 | 23.72 |
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