Table 1 Comparison of classification accuracy of ScSPM, ScSPM, and PCA and their combination PLSA (%)
From: Image classification based on sparse coding multi-scale spatial latent semantic analysis
Method | Scene 13 dataset | Scene 15 dataset |
|---|---|---|
ScSPM | 85.31 ± 0.69 | 80.81 ± 0.67 |
ScSPM+PCA | 85.01 ± 0.64 | 80.51 ± 0.42 |
ScSPM+PLSA | 86.54 ± 0.51 | 82.61 ± 0.62 |