深度学习对不同分辨率影像冬小麦识别的适用性研究

崔刚,吴金胜,于镇,周玲

Comparison Analysis on Wheat Mapping Using Deep Learning Algorithm from Different Satellite Data Source

Gang Cui,Jinsheng Wu,Zhen Yu,Ling Zhou

表1 4种尺度冬小麦分类精度

Table1 The accuracy of winter wheat identification for four remote sensing images

		生产精度/%	用户精度/%	F₁-Score	总体精度 /%
PSPNet	GF-1-MUL	0.80	0.88	0.84	83.57
	GF-1-GS	0.84	0.89	0.86	85.26
	GF-2-MUL	0.90	0.85	0.87	89.12
	GF-2-GS	0.92	0.86	0.89	90.78
SVM	GF-1-MUL	0.77	0.83	0.80	80.29
	GF-1-GS	0.81	0.86	0.83	85.26
	GF-2-MUL	0.88	0.85	0.86	86.67
	GF-2-GS	0.88	0.83	0.85	84.35