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
Study on Machine Learning Methods for Vegetation Classification in Typical Humid Mountainous Areas of South China based on the UAV Multispectral Remote Sensing
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 |
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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3 DT、RF、AdaBoost模型中遥感特征贡献度 |
| Fig. 3 Contributions of the remote sensing features in the DT， RF， and AdaBoost models |
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