Table 9.

Classification results on the Pavia University dataset (accuracy shown in percentage).

	SVM	ELM	Pixel- ${\mathit{CNN}}_1$	Patch- ${\mathit{CNN}}_9$	Patch- BsNet	PPF- Framework	SPPF Framework
							${\mathit{CNN}}_2$	${\mathit{CNN}}_2$-Lite	BsNet
1	82.69	82.71	86.85	94.44	89.50	87.62	92.38	93.89	93.81
2	87.65	91.23	84.19	86.41	90.19	90.16	90.90	91.71	92.19
3	79.36	79.20	80.75	94.95	88.47	97.53	84.89	83.46	83.10
4	94.24	93.02	93.57	94.34	96.61	99.25	97.14	97.07	97.42
5	99.83	99.30	100.0	99.91	99.83	99.64	99.83	100.0	100.0
6	89.36	91.51	84.54	88.48	94.22	85.62	96.15	95.92	87.49
7	89.38	92.92	92.47	97.26	92.92	73.61	97.35	97.35	97.96
8	81.68	86.79	85.06	90.95	82.25	95.93	86.24	87.71	86.07
9	99.87	99.87	99.73	100.0	99.87	97.93	99.20	99.73	100.0
AA(%)	89.34	90.73	89.68	94.08	92.65	91.92	93.78	94.09	93.12
OA(%)	87.25	89.55	86.17	90.17	90.77	86.95	92.09	92.73	91.94