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

Table 5

Classification accuracy and test set independence rate with different sampling strategies of the Pavia University dataset.

Sampling strategy	3D-CNN				1D-3D-2D-CNN				Test set-independent sample rate (%)
	OA (%)	AA (%)	Kappa	Time (min.)	OA (%)	AA (%)	Kappa	Time (min.)
Area	63.36	72.01	0.5581	17.94	66.12	79.12	0.5904	3.19	98.60
Random	97.54	96.90	0.9673	17.90	98.36	97.92	0.9782	3.44	3.31
	84.37	86.66	0.7979	17.80	84.91	88.71	0.8067	3.13	95.11
	87.31	85.70	0.8322	17.94	87.35	87.16	0.8337	3.65	94.10
	90.40	89.40	0.8710	18.05	92.12	91.21	0.8967	3.11	94.41
	88.78	89.73	0.8481	18.15	91.21	90.72	0.8843	3.28	94.08
	86.62	87.11	0.8236	17.99	88.83	88.56	0.8554	3.26	93.63
	88.35	87.32	0.8478	18.19	91.69	90.78	0.8912	3.34	92.94
	89.41	88.11	0.8594	17.71	91.27	89.94	0.8857	3.40	92.69
	90.52	88.15	0.8739	17.91	91.48	89.26	0.8876	3.52	92.27
	89.88	88.43	0.8646	17.97	92.84	91.35	0.9060	3.70	92.00
	89.52	88.59	0.8594	17.80	92.17	90.54	0.8968	3.70	91.16
	90.27	89.16	0.8701	17.60	92.45	91.46	0.9014	3.42	90.62
	92.06	90.95	0.8939	17.59	93.34	92.40	0.9124	3.92	90.52
	92.32	91.77	0.8973	17.76	93.60	93.29	0.9162	3.47	90.15
	90.54	89.55	0.8734	17.68	93.36	92.65	0.9127	3.87	89.87
	90.10	89.65	0.8689	17.87	90.41	90.88	0.8756	3.89	89.28