基于CNN和农作物光谱纹理特征进行作物分布制图
周壮,李盛阳,张康,邵雨阳

Crop Mapping Using Remotely Sensed Spectral and Context Features based on CNN
Zhuang Zhou,Shengyang Li,Kang Zhang,Yuyang Shao
表5 基于光谱信息的CNN分类混淆矩阵结果
Table 5 Confusion matrix result of CNN with spectral features
类别水稻玉米花生其他总计UA/%
PA/%95.2493.2894.1597.11
水稻26011526797.38
玉米82366125194.02
花生316161318387.98
其他20330230798.37
总计2732531713111 008