基于超像素分割的田间小麦穗数统计方法
|
|
杜颖,蔡义承,谭昌伟,李振海,杨贵军,冯海宽,韩东
|
Field Wheat Ears Counting Based on Superpixel Segmentation Method
|
|
DU Ying,CAI YiCheng,TAN ChangWei,LI ZhenHai,YANG GuiJun,FENG HaiKuan,HAN Dong
|
|
表3 施氮样本分类训练结果
|
Table 3 Classification training results of nitrogen application samples (n=10 000)
|
|
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 |
|
|
|