期刊论文

Cui Guo-xian

中文

光谱学与光谱分析

1000-0593

2018

38

5

1547-1551

10.3964/j.issn.1000-0593(2018)05-1547-05

国家麻类产业技术体系（CARS-16-E11）； 国家自然科学基金项目（31471543）资助；

本校为第一且通讯机构

为了探讨基于高光谱的苎麻品种识别和分类的方法,在大田栽培条件下,采集了4个不同基因型苎麻品种共927个叶片高光谱数据。根据苎麻叶片高光谱反射曲线,选择了2组特征参数:基于高光谱波形峰谷反射率和位置参数(V1组)、基于偏度和峰度参数(V2组)。运用逐步判别的方法,通过设置不同F值筛选不同个数的变量,分别建立基于2组特征参数的多个Fisher线性判别函数,并从计算量、正确率和稳定性三方面对所建立的判别函数进行分析比较。结论:(1)所有组合的判别函数总体平均正确率为91.1%,标准差总体均值为1.2%;(2)综合权衡,在所有组合中,V2组且14≥变量个数n≥8判别效果最好———计算量中等,正确率和稳定性均...

The hyperspectral data on total 927 leaves of different genotypes, which come from 4 ramie varieties, were collected under the field cultivation conditions to explore the identification and classification of ramie varieties with the hyperspectral as the basis. According to the hyperspectral reflection curve of ramie leaves, two groups of feature parameters were extracted, namely, the hyperspectral wave-valley reflectance and position parameters(the group V1) as well as the skewness and kurtosis parameters(the group V2). Then, by adopting the st...