Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area

Table 6

Improved overall precision and Kappa indices by applying smoothing.

	Before smoothing		After smoothing
	OA	K	OA	K
VV; VH	75.43	0.67	77.36	0.67
VV; VH; texture	76.72	0.69	80.91	0.74
VV; VH; VV/VH	75.42	0.67	81.12	0.75
VV; VH; VV/VH; texture	76.45	0.68	81.01	0.75
NDVI; VH	86.10	0.81	88.26	0.84
NDVI; VH; texture	87.22	0.82	88.90	0.85
NDVI; VV; VH	83.78	0.78	86.35	0.81