深度学习在GlobeLand30-2010产品分类精度优化中应用研究
刘天福,陈学泓,董琪,曹鑫,陈晋

Application of Deep Learning in GlobeLand30-2010 Product Refinement
Tianfu Liu,Xuehong Chen,Qi Dong,Xin Cao,Jin Chen
表4 DCNN模型分类结果混淆矩阵
Table 4 The confusion matrix of DCNN model classification result
样本个数地面真实值
人造地表裸地耕地森林灌草地冰川和永久积雪水体总和错分误差/%
分类人造地表91110011943.2
裸地19412205212524.8
耕地4188500610415.3
森林301875019710.3
灌草地036374028815.9
冰川和多年积雪01000920931.1
水体113312889911.1
总和100100100100100100100700
漏分误差/%96121326812
总体分类精度87.7%,Kappa系数0.86