Table 1.
Performance of different methods on the GBM dataset.
| Method | DictionarySize=256 | DictionarySize=512 | DictionarySize=1024 | |
|---|---|---|---|---|
| 160 training | MCSCSPM-HE | 92.71 ± 0.91 | 93.01 ± 1.10 | 92.65 ± 0.75 |
| MCSCSPM-RGB | 92.58 ± 0.94 | 92.50 ± 0.86 | 92.47 ± 0.73 | |
| MCSCSPM-Gray | 86.33 ± 1.12 | 86.74 ± 0.91 | 86.69 ± 0.81 | |
| PSDSPM [5] | 91.02 ± 1.89 | 91.41 ± 0.95 | 91.20 ± 1.29 | |
| SMLSPM [4] | 92.35 ± 0.83 | 92.57 ± 0.91 | 92.91 ± 0.84 | |
| ScSPM [23] | 79.58 ± 0.61 | 81.29 ± 0.86 | 82.36 ± 1.10 | |
| KSPM [17] | 85.00 ± 0.79 | 86.47 ± 0.55 | 86.81 ± 0.45 | |
|
| ||||
| 80 training | MCSCSPM-HE | 91.41 ± 1.07 | 91.19 ± 0.91 | 91.13 ± 0.93 |
| MCSCSPM-RGB | 90.88 ± 1.06 | 91.28 ± 0.82 | 90.85 ± 0.67 | |
| MCSCSPM-Gray | 84.67 ± 1.63 | 84.53 ± 1.58 | 84.56 ± 1.62 | |
| PSDSPM [5] | 88.63 ± 0.91 | 88.91 ± 1.18 | 88.64 ± 1.08 | |
| SMLSPM [4] | 90.82 ± 1.28 | 90.29 ± 0.68 | 91.08 ± 0.69 | |
| ScSPM [23] | 77.65 ± 1.43 | 78.31 ± 1.13 | 81.00 ± 0.98 | |
| KSPM [17] | 83.81 ± 1.22 | 84.32 ± 0.67 | 84.49 ± 0.34 | |
|
| ||||
| 40 training | MCSCSPM-HE | 89.16 ± 1.04 | 89.21 ± 0.75 | 88.84 ± 0.83 |
| MCSCSPM-RGB | 89.24 ± 1.03 | 89.46 ± 1.14 | 89.53 ± 1.20 | |
| MCSCSPM-Gray | 81.37 ± 1.55 | 81.31 ± 1.19 | 80.80 ± 1.71 | |
| PSDSPM [5] | 84.06 ± 1.16 | 83.72 ± 1.46 | 83.40 ± 1.14 | |
| SMLSPM [4] | 88.05 ± 1.38 | 87.88 ± 1.04 | 88.54 ± 1.42 | |
| ScSPM [23] | 73.60 ± 1.68 | 75.58 ± 1.29 | 76.24 ± 3.05 | |
| KSPM [17] | 80.54 ± 1.21 | 80.56 ± 1.24 | 80.46 ± 0.56 | |