From: Learning from label proportions for SAR image classification
Tianjin | Rosenheim | |||
---|---|---|---|---|
Method | Overall accuracy | Kappa coefficient | Overall accuracy | Kappa coefficient |
PL+SVM | 87.41 ± 0.43 | 0.7762 ± 0.0132 | 68.17 ± 0.59 | 0.5880 ± 0.0091 |
GL+SVM | 83.13 ± 0.47 | 0.6698 ± 0.0104 | 64.52 ± 0.61 | 0.4623 ± 0.0324 |
∝SVM | 84.86 ± 0.53 | 0.7144 ± 0.0121 | 65.92 ± 0.95 | 0.4847 ± 0.0083 |
GL+LpcSVM with n k =0 | 86.38 ± 0.68 | 0.7278 ± 0.0131 | 67.34 ± 0.55 | 0.5728 ± 0.0079 |
GL+LpcSVM with n k ∼N(0,0.052) | 86.33 ± 0.74 | 0.7226 ± 0.0143 | 67.14 ± 0.53 | 0.5719 ± 0.0077 |