A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest

Table 3

The comparison of overall accuracy and Kappa coefficient under different classifier algorithm of AVIRIS data.

Comparative classification method	Run time (seconds)			Overall Accuracy (%)			Kappa Coefficient
	T1	T2	T3	T1	T2	T3	T1	T2	T3
Minimum distance classification algorithm	7	10	11	65.46	63.06	65.21	0.6164	0.5895	0.6137
Support vector machine classification algorithm	62	72	86	78.47	80.17	82.35	0.7609	0.7704	0.8041
Classification and regression trees (CART)	17	21	26	75.04	78.0412	78.3285	0.7227	0.7557	0.7591
This-algorithm classifies( 5% of the-labeled labels)	16.21	16.63	17.69	82.98	84.19	85.35	0.8108	0.8234	0.8371
This-algorithm classifies(10% labeled labels)	20.65	21.10	22.72	85.85	86.81	87.36	0.8421	0.8528	0.8591