Table 1.

A comparison of accuracy assessment results among different methods

Land cover	Maximum likelihood classifier						ECHO			Segmentation-based Method
	Spectral Image			Spectral and Texture
	PA	UA	KC	PA	UA	KC	PA	UA	KC	PA	UA	KC
Forest	92.45	71.01	0.65	95.08	89.23	0.86	87.50	87.50	0.85	90.57	90.31	0.89
ImpS	95.12	76.47	0.73	90.91	85.11	0.83	77.78	81.40	0.78	87.80	92.31	0.91
Pas-Gra	75.00	62.26	0.56	74.47	77.78	0.74	74.36	67.44	0.63	75.00	71.74	0.67
Water	70.97	100.00	1.00	80.00	100.00	1.00	90.32	93.33	0.93	96.77	100.00	1.00
Wetland	31.03	52.94	0.48	88.89	72.73	0.71	96.30	76.47	0.74	100.00	82.86	0.81
Bare	69.70	82.14	0.80	87.10	93.10	0.92	85.00	53.13	0.50	93.94	86.11	0.84
Fields	75.36	86.67	0.83	89.86	91.18	0.89	74.39	98.39	0.98	84.06	95.08	0.94
OCA	75.67			87.33			81.67			88.33
OKC	0.71			0.85			0.78			0.86

Note: PA, UA, and KC represent producer's accuracy, user's accuracy, and kappa coefficient for each land cover class; OCA and OKC represent overall classification accuracy and overall kappa coefficient. ImpS and Pas-Gra represent impervious surfaces and pasture/grass land