基于超像素分割的田间小麦穗数统计方法
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杜颖,蔡义承,谭昌伟,李振海,杨贵军,冯海宽,韩东
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Field Wheat Ears Counting Based on Superpixel Segmentation Method
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DU Ying,CAI YiCheng,TAN ChangWei,LI ZhenHai,YANG GuiJun,FENG HaiKuan,HAN Dong
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表3 施氮样本分类训练结果
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Table 3 Classification training results of nitrogen application samples (n=10 000)
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分类器类型 Classifier type | 总体准确率 Overall accuracy (%) | 穗部准确率 Ear accuracy (%) | 背景准确率 Background accuracy (%) | linSVM | 87.1 | 88.0 | 86.0 | quaSVM | 89.2 | 91.0 | 87.0 | cubSVM | 84.0 | 77.0 | 91.0 | finGSVM | 89.2 | 89.0 | 90.0 | medGSVM | 89.5 | 91.0 | 88.0 | coaGSVM | 88.0 | 90.0 | 86.0 | finKNN | 87.4 | 87.0 | 87.0 | medKNN | 89.4 | 90.0 | 89.0 | coaKNN | 89.1 | 93.0 | 86.0 | cosKNN | 88.8 | 88.0 | 90.0 | cubKNN | 88.9 | 89.0 | 88.0 | weiKNN | 90.2 | 93.0 | 88.0 |
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