《Table 3Error matrix for Anbi classified using an SVM.》

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《基于人工智能技术的无人机遥感探测具有感染松材线虫病特征的树木》

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As in the case of Anbi，we merged the SVM and ANN categories based on their similarities.For example，grass，bush，and trees were merged into one class.Overall，the classification results generated by both classifiers can distinguish PWD-indicated trees，but the SVM classifier yielded better results than the ANN classifier，as shown in Figs.4（a） and （b），respectively.In Wonchang，the SVM misclassified some areas but not as many as the ANN that classified some areas as PWD-indicated trees，such as bare land and other trees species，which were similar in color to PWD-indicated trees due to the arrival of peak fall season.