Research Article

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

Table 6

Supplementary experiments of the Pavia University dataset with high value.

Sampling strategyOA (%)AA (%)KappaTime (min.)Test set-independent sample rate (%)

94.1393.550.92293.5189.40
93.4192.670.91333.5789.17
93.3692.760.91303.4788.92
93.1492.360.90973.4988.73
91.8792.000.89403.5988.67
91.7790.900.89263.5588.12
91.1190.440.88413.6087.83
92.3693.090.90043.6488.18
90.8990.500.88103.3087.97
91.2591.560.88633.3487.50
88.3489.750.84963.5887.61
92.9692.510.90803.6887.23
88.1388.990.84623.6387.37
91.2090.720.88413.7386.92
91.7991.880.89183.7487.00
90.1689.650.87083.7986.46