Hyperspectral Image Classification On Kennedy
Métriques
OA@15perclass
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | OA@15perclass |
|---|---|
| hsi-bert-hyperspectral-image-classification | 82.93±0.94 |
| generative-adversarial-networks-based-on-2 | 91.17±1.54 |
| feature-extraction-of-hyperspectral-images | 95.07 |
| deep-supervised-learning-for-hyperspectral | 80.53±1.31 |
| generative-adversarial-networks-based-on-1 | 98.39±0.63 |
| graph-information-aggregation-cross-domain | 97.59±1.03 |
| discrete-cosine-transform-based-joint | - |
| small-sample-hyperspectral-image | 98.51 |
| hyperspectral-image-classification-of | 80.15±0.62 |
| spectral-spatial-classification-of-2 | 87.18±1.00 |
| hyperspectral-image-classification-via-a | 95.83 |
| deep-metric-learning-based-feature-embedding | 95.83±1.68 |
| exploring-the-relationship-between-center-and | - |
| attention-based-adaptive-spectral-spatial | - |