基于无人机多光谱遥感图像的玉米田间杂草识别
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赵静,李志铭,鲁力群,贾鹏,杨焕波,兰玉彬
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Weed Identification in Maize Field Based on Multi-Spectral Remote Sensing of Unmanned Aerial Vehicle
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Jing ZHAO,ZhiMing LI,LiQun LU,Peng JIA,HuanBo YANG,YuBin LAN
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表4 SVM-RFE特征子集分类结果
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Table 4 Classification results of SVM-RFE subset
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SVM-RFE特征子集 SVM-RFE subset | 训练集识别率 Accuracy of training set (%) | 测试集 Test set | 准确率 Accuracy (%) | 精确率 Precision (%) | 召回率 Recall (%) | F1 (%) | 支持向量机 SVM | 98.76 | 98.23 | 98.23 | 98.23 | 98.23 | K-最近邻 KNN | 100 | 95.96 | 96.07 | 95.96 | 95.95 | Cart决策树 CART | 97.64 | 94.44 | 94.65 | 94.44 | 94.43 | 随机森林 RF | 99.38 | 97.22 | 97.25 | 97.22 | 97.22 | 人工神经网络 ANN | 97.78 | 99.00 | 99.02 | 99.00 | 99.00 |
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