Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks

Table 5

Confusion matrix (in percent) of the SEM method.

	Water	Golf	Pasture	Cons.	LD	Crop1	Crop2	Forest	HD	Ind.
Water	96.68	0.53	0.08	0.13	0.08	0.12	0.09	0.09	0.04	0.11
Golf	3.10	92.45	4.36	4.41	0.54	0.03	0.38	0.28	0.53	1.01
Pasture	0.08	5.40	85.02	1.15	2.11	1.32	4.82	0.75	0.69	0.07
Cons.	0.06	1.01	0.60	72.39	0.21	0.00	6.12	0.03	0.78	0.35
LD	0.00	0.00	0.01	0.03	31.60	0.16	0.03	0.36	6.54	3.18
Crop1	0.06	0.07	6.80	1.21	6.28	96.17	3.58	0.85	4.67	10.90
Crop2	0.04	0.35	2.55	20.16	0.94	0.22	83.06	1.21	0.73	0.43
Forest	0.00	0.15	0.53	0.32	34.84	1.69	1.89	95.42	2.43	0.53
HD	0.00	0.02	0.04	0.13	10.20	0.29	0.01	0.76	62.64	42.07
Ind.	0.00	0.01	0.00	0.06	13.20	0.00	0.01	0.24	20.95	41.35