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6 基于光谱和空间信息的CNN分类混淆矩阵结果
Table 6 Confusion matrix result of CNN with spectral and spatial features
类别水稻玉米花生其他总计UA/%
PA/%96.6994.8094.9498.38
水稻26301326798.50
玉米72376125194.42
花生112169118392.35
其他11230330798.70
总计2722501783081 008