Research Article

Spectral-Spatial Hyperspectral Image Semisupervised Classification by Fusing Maximum Noise Fraction and Adaptive Random Multigraphs

Table 7

Classification results of different techniques for the Salinas dataset (16 classes).

No.Pixon-basedPCA-SPCA-2D-SSAR-VCANetRN-FSCiCapsNetRPNetMBFSDASS-MNF-ARMG

199.9096.3096.9599.2693.4198.0196.9597.11
299.3888.9499.0693.2167.1699.1997.6598.98
396.2092.0997.3197.8786.4996.9199.60100.00
491.6190.2399.4685.5090.3699.21100.0086.21
586.8988.9497.3584.8190.3998.3696.3088.67
688.7996.0899.8799.3599.0299.6099.1489.47
797.3291.3695.2696.6595.0796.4293.5597.65
887.2096.4464.0166.2482.1276.0178.3396.66
999.8485.9797.7997.3498.6396.5897.81100.00
1046.3486.3881.3882.6693.1384.6694.2387.22
1152.9094.1793.1773.9660.0996.2597.3888.30
1230.1080.4996.4896.8494.7897.8799.2797.18
1389.7496.1798.7085.3949.5193.5698.6986.42
1484.2199.3090.3590.3976.7697.7675.7095.79
1594.7986.6856.9265.8549.7666.2680.3895.36
1692.0998.1790.7986.8996.8997.5799.89100.00
AA83.5891.4390.9387.6477.2693.3994.0594.06
OA87.1591.7393.5693.1282.7288.1690.9693.73
Kappa85.6390.9085.7285.4474.7286.8389.9593.03

Bold values represent the best results among these methods.