Intelligent Identification Method of Crop Species Using Improved U-Net Network in UAV Remote Sensing Image

Table 3

Comparison of different deep learning methods.

Method	Type	PR	Re	F1	IoU	OA	Kappa
Ref. [26]	Wheat	0.976	0.954	0.965	0.915	91.37%	0.874
	Sunflower	0.924	0.901	0.912	0.904
	Corn	0.953	0.914	0.933	0.901
	Soybean	0.629	0.817	0.711	0.610
Ref. [27]	Wheat	0.945	0.931	0.938	0.907	90.65%	0.864
	Sunflower	0.913	0.887	0.900	0.897
	Corn	0.927	0.904	0.915	0.878
	Soybean	0.614	0.811	0.699	0.601
Proposed method	Wheat	0.996	0.977	0.986	0.976	92.14%	0.896
	Sunflower	0.936	0.916	0.926	0.917
	Corn	0.983	0.924	0.953	0.926
	Soybean	0.685	0.845	0.757	0.641