随机森林协同Sentinel-1/2的东营市不透水层信息提取
刘春亭, 冯权泷, 金鼎坚, 史同广, 刘建涛, 朱明水

Application of random forest and Sentinel-1/2 in the information extraction of impervious layers in Dongying City
LIU Chunting, FENG Quanlong, JIN Dingjian, SHI Tongguang, LIU Jiantao, ZHU Mingshui
表6 随机森林、支持向量机、决策树分类精度比较
Tab.6 Comparison of classification accuracy of RF, SVM and CART
分类算法 随机森林分类 支持向量机分类 决策树分类
总体精度/% 93.37 93.19 87.79
Kappa系数 0.925 8 0.923 8 0.863 5