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

<div>Final land use maps. (a) Optical (85.83%, <i>K</i> = 0.81), (b) radar (81.12%, <i>K</i> = 0.75) and (c) optical combined with SAR (88.90%, <i>K</i> = 0.85).</div>

Scientifica

fig12

Figure 12

Figure 12: Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area 