Table 6 Recall, precision, and F1-score of the DenseNet201 CNN + SVM with depth images.
From: RGB-D based multi-modal deep learning for spacecraft and debris recognition
Category | Precision | Recall | F1-score |
|---|---|---|---|
AcrimSat | 0.62 | 0.70 | 0.66 |
Aquarius | 0.66 | 0.70 | 0.68 |
Aura | 0.74 | 0.74 | 0.74 |
Calipso | 0.65 | 0.59 | 0.62 |
Cloudsat | 0.52 | 0.47 | 0.50 |
CubeSat | 0.85 | 0.86 | 0.85 |
Debris | 0.63 | 0.71 | 0.67 |
Jason | 0.62 | 0.53 | 0.57 |
Sentinel-6 | 0.66 | 0.72 | 0.69 |
Terra | 0.65 | 0.55 | 0.60 |
TRMM | 0.89 | 0.84 | 0.87 |
Average | 0.68 | 0.67 | 0.68 |
