Research Article

Hyperspectral Data Classification Algorithm considering Spatial Texture Features

Table 2

Quantitative assessment of Pavia University.

Evaluation indexOFPCASF

Class 1 CA (%)78.7288.9391.0094.836S.8181.5087.0991.0982.0486.3790.0393.41
Class 2 CA (%)62.2168.5172.3976.1969.0274.5676.48793064.H873.3477.0881.07
Class 3 CA (%)73.5678.3777.1377.7055.3165.8467.3770.2774.8576.7076.5675.46
Class 4 CA (%)97.8598.0497.9898.1497.5297.7897.5297.9494.3997.3997.2397.55
Class 5 CA (%)99.7899.9399.7899.7899.5599.7099.7899.7899.8599.2699.6399.48
Class 6 CA (%)90.2494.4994.9196.2265.9277.8381.0185.4491.0993.2093.4895.05
Class 7 CA (%)89.0285567925725681.1376.1770.9860.68S8.6583.6176.9972.48
Class 8 CA (%)88.3286.01862682.1075.5880.4279.9880.1284.7682.7880.2879.49
Class 9 CA (%)90.3994.8396.8397.9990.8195.4697.8998.4292.50100100100
OA (%)76.0680.9482.8084.7072.3879.0681.0583.30773982.1283.8086.13
Kappa (%)70.3576.1178.2880.5365.1373.3575.7978.5571.8277.4079.3682.19
AA (%)85.5788.3088.3988.3978.18832584.2384.7885.8988.0787.8188.22