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1 研究区地理位置、无人机遥感影像及样点示意图
Fig. 1 Geographical location of the study area, the UAV remote sensing image, and locations of the sample points