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当前位置: 首页 > 文章 > Tree species classification using deep learning and RGB optical images obtained by an unmanned aerial vehicle 林业研究(英文版) 2020,32 (5)
Position: Home > Articles > Tree species classification using deep learning and RGB optical images obtained by an unmanned aerial vehicle Journal of Forestry Research 2020,32 (5)

Tree species classification using deep learning and RGB optical images obtained by an unmanned aerial vehicle

作  者：
Chen Zhang;Kai Xia;Hailin Feng;Yinhui Yang;Xiaochen D
单  位：
Key Laboratory of State Forestry and Grassland Administration on Forestry Sensing Technology and Intelligent Equipment, Hangzhou, People’s Republic of China; Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou, People’s Republic of Chin; School of Information Engineering, Zhejiang A&F University, Hangzhou, People’s Republic of China; Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Hangzhou, People’s Republic of China
关键词：
Urban forest;Unmanned aerial vehicle (UAV);Convolutional neural network;Tree species classification;RGB optical images;BOREAL FORESTS;LIDAR DATA;DELINEATION;FIEL

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