Research Article
Vision-Based Satellite Recognition and Pose Estimation Using Gaussian Process Regression
Table 4
Satellite recognition results and comparison with deep learning methods.
| Dataset | Method | Accuracy (%) |
| BUAA-SID 1.0 | DCNN [33] | 86.78 | ResNet [46] | 94.32 | DenseNet [47] | 96.17 | Our GPR method | 86.61 |
| BUAA-SID 1.5 1D subset | DCNN [33] | 100 | ResNet [46] | 100 | DenseNet [47] | 100 | Our GPR method | 100 |
| BUAA-SID 1.5 noise subset | DCNN [33] | 99.58 | ResNet [46] | 100 | DenseNet [47] | 100 | Our GPR method | 100 |
| BUAA-SID 1.5 lighting subset | DCNN [33] | 88.69 | ResNet [46] | 100 | DenseNet [47] | 100 | Our GPR method | 97.593 |
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