Research Article

Composite Clustering Sampling Strategy for Multiscale Spectral-Spatial Classification of Hyperspectral Images

Table 4

Classification accuracy and test set independence rate with different sampling strategies of the Indian Pines dataset.

Sampling strategy3D-CNN1D-3D-2D-CNNTest set-independent sample rate (%)
OA (%)AA (%)KappaTime (min.)OA (%)AA (%)KappaTime (min.)

Area46.8142.550.39509.2449.7651.120.43921.9590.93
Random90.3391.690.88949.2494.3692.910.93561.871.75
63.5562.660.580810.1577.1970.830.74021.9881.88
58.7658.840.528410.1173.7270.680.70072.0181.48
65.5764.350.605910.1076.0672.530.72782.0081.52
66.2466.200.613610.1277.0170.580.73852.0480.17
66.7368.390.616110.2178.6077.010.75582.1377.23
63.5765.340.58039.3779.8377.500.76992.1075.51
67.9068.930.62959.4178.2777.380.75012.0575.15
66.1968.590.61049.4880.2379.380.77422.1275.02
65.4968.570.60199.4278.6279.640.75542.2974.23
65.0869.980.59639.5082.8682.080.80392.3471.68
69.2272.120.64439.5180.4578.710.77692.3670.20
69.7373.320.65179.5680.3080.220.77432.4069.34
70.9471.980.66509.6180.0978.360.77202.4667.98
69.4073.110.64679.6983.0181.130.80592.4467.34
70.2472.060.65669.2581.9480.280.79322.4665.81