Table 2 Comparison of classification accuracy for fusion of different pixel classifications and MRF-Semi-GDTW-FCM
Classification method | OA (%) | Kappa coefficient |
|---|---|---|
1NN-DTW | 73.4726 | 0.6351 |
Mahalanobis | 56.5299 | 0.386 |
SAM | 48.1200 | 0.2718 |
MRF-Semi-GDTW-FCM | 92.1587 | 0.9085 |
1NN-MRF-Semi-GDTW-FCM | 93.8806 | 0.9267 |
Mahalanobis-MRF-Semi-GDTW-FCM | 87.0378 | 0.7725 |
SAM-MRF-Semi-GDTW-FCM | 81.9891 | 0.8369 |