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4 SVM混淆矩阵结果
Table 4 Confusion matrix result of SVM
类别水稻玉米花生其他总计UA/%
PA/%93.4588.8486.0396.04
水稻25744226796.25
玉米722314725188.84
花生917154318384.15
其他27729130794.79
总计2752511793031 008