Comparison of the backpropagation network and the random forest algorithm based on sampling distribution effects consideration for estimating nonphotosynthetic vegetation cover
International Journal of Applied Earth Observation and Geoinformation(2021)
摘要
•The detection of non-photosynthetic vegetation by BP and RF in arid and semi-arid regions was compared.•A new approach for evaluating remote sensing fitting results based on machine learning was presented.•Uav was used as a sampling tool of remote sensing pixel scale.
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关键词
UAV,Nonphotosynthetic vegetation cover,Mu Us sandy land,Random forests,Backpropagation neural network,The sampling distribution
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