Study on soybean lodging identification based on UAV remote sensing
To quickly identify the soybean lodging conditions,accurate extraction of the soybean lodging area,a method based on Unmanned Aerial Vehicle(UAV)remote sensing technology is proposed to judge the soybean lodging situation.Red-Green-Blue(RGB)images and digital surface model Digital Surface Model,(DSM)images of soybean drums were obtained by UAV,visible light information was extracted and Excess Green(EXG)images were constructed,by using 3 types of feature images into image features,DSM+RGB fusion images and DSM+EXG+RGB fusion images were obtained.The maximum likelihood method was used to extract the soybean lodging area,and to verify the classification accuracy of each image by using the confusion matrix method.The results showed that the overall accuracy of the lodging soybean area extracted by RGB images,DSM images,DSM+RGB feature fusion images,and DSM+EXG+RGB feature fusion images were,respectively 78.36%,65.38%,82.84%,68.41%.The Kappa coefficients were 0.75,0.53,0.81,and 0.58,respectively,with the highest accuracy in soybean lodging area extracted from DSM+RGB feature fusion images.Image feature fusion method can be used to evaluate soybean lodging and provide a reference for rapid extraction of soybean lodging area.
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