Table 4 OAs (%) of different ESE classifiers on the three RSI datasets.
From: Pure data correction enhancing remote sensing image classification with a lightweight ensemble model
Classifier | AID30 | NWPU45 | AFGR50 | ||||
|---|---|---|---|---|---|---|---|
TR-20% | TR-50% | TR-10% | TR-20% | TR-10% | TR-20% | TR-30% | |
RC-B3 | 97.22 ± 0.03 | 98.27 ± 0.04 | 94.69 ± 0.03 | 96.28 ± 0.05 | 91.91 ± 0.34 | 96.24 ± 0.12 | 97.39 ± 0.10 |
RD-ESE | 97.53 ± 0.02 | 98.45 ± 0.02 | 95.17 ± 0.05 | 96.57 ± 0.06 | 92.21 ± 0.35 | 96.40 ± 0.18 | 97.55 ± 0.12 |
RS-ESE | 97.53 ± 0.05 | 98.44 ± 0.07 | 95.22 ± 0.06 | 96.61 ± 0.04 | 92.32 ± 0.34 | 96.43 ± 0.16 | 97.55 ± 0.10 |
DualB3-ESE | 97.47 ± 0.10 | 98.41 ± 0.06 | 94.98 ± 0.11 | 96.44 ± 0.06 | 91.91 ± 0.32 | 96.22 ± 0.11 | 97.41 ± 0.09 |
SC-B3 | 97.31 ± 0.13 | 98.23 ± 0.04 | 94.66 ± 0.12 | 96.24 ± 0.04 | 90.87 ± 0.05 | 95.67 ± 0.18 | 97.14 ± 0.22 |
SD-ESE | 97.60 ± 0.14 | 98.39 ± 0.02 | 95.13 ± 0.07 | 96.57 ± 0.03 | 90.25 ± 0.10 | 95.58 ± 0.16 | 97.15 ± 0.19 |
SS-ESE | 97.47 ± 0.10 | 98.41 ± 0.06 | 95.16 ± 0.09 | 96.60 ± 0.04 | 90.55 ± 0.30 | 95.65 ± 0.13 | 97.03 ± 0.13 |
DC-B0 | 96.90 ± 0.12 | 98.15 ± 0.04 | 94.40 ± 0.03 | 96.03 ± 0.02 | 90.17 ± 0.15 | 95.58 ± 0.17 | 97.12 ± 0.16 |
DualB0-ESE | 97.13 ± 0.04 | 98.45 ± 0.04 | 94.75 ± 0.06 | 96.28 ± 0.03 | 90.84 ± 0.29 | 95.93 ± 0.15 | 97.24 ± 0.17 |
Swin-T-Tiny | 97.42 ± 0.10 | 98.39 ± 0.11 | 94.41 ± 0.19 | 96.22 ± 0.13 | 91.72 ± 0.34 | 96.00 ± 0.24 | 97.39 ± 0.05 |
DST-ESE | 97.75 ± 0.11 | 98.63 ± 0.06 | 95.24 ± 0.03 | 96.65 ± 0.05 | 92.19 ± 0.31 | 96.40 ± 0.21 | 97.64 ± 0.09 |
RST-ESE | 97.86 ± 0.12 | 98.59 ± 0.05 | 95.29 ± 0.04 | 96.78 ± 0.02 | 92.97 ± 0.37 | 96.60 ± 0.21 | 97.67 ± 0.04 |
N-ViT-S | 97.62 ± 0.11 | 98.47 ± 0.02 | 94.81 ± 0.05 | 96.22 ± 0.07 | 92.60 ± 0.17 | 96.33 ± 0.20 | 97.43 ± 0.07 |
DNV-ESE | 97.75 ± 0.11 | 98.59 ± 0.04 | 95.27 ± 0.01 | 96.59 ± 0.07 | 92.86 ± 0.10 | 96.59 ± 0.15 | 97.75 ± 0.07 |
RNV-ESE | 97.86 ± 0.12 | 98.59 ± 0.15 | 95.34 ± 0.08 | 96.70 ± 0.04 | 93.27 ± 0.29 | 96.77 ± 0.24 | 97.80 ± 0.01 |
