中国南方典型湿润山区植被类型的无人机多光谱遥感机器学习分类研究

张妮娜,张珂,李运平,李曦,刘涛

Study on Machine Learning Methods for Vegetation Classification in Typical Humid Mountainous Areas of South China based on the UAV Multispectral Remote Sensing

Nina ZHANG,Ke ZHANG,Yunping LI,Xi LI,Tao LIU

图4 不同组合方案下DT、RF、SVM、AdaBoost模型的总体精度、Kappa系数和均方误差

Fig.4 Classification accuracy， Kappa coefficient and mean square error of the DT， RF， SVM and AdaBoost models under different combination schemes