云南化工2024，Vol.51Issue(4)：89-91,3.DOI:10.3969/j.issn.1004-275X.2024.04.20
高光谱结合支持向量机鉴别不同产地的麦冬药材
Discrimination of Ophiopogon Japonicus from Different Origions by Hyperspectroscopy Combined with Support Vector Machine
摘要
Abstract
The identification method of Ophiopogon japonicus from different origions was established by hyperspectroscopy combined with support vector machine.The hyperspectral datas of Ophiopogon japonicus samples from five different origions were collected,and the hyperspectral datas were preprocessed by Savitzky-Golay smooth derivative,and then the classification model of Ophiopogon japonicus origions was established by combined with support vector machine.The results show that the classification accuracy of the model after pretreatment can reach 93.00％.The research shows that hyperspectral technique combined with support vector machine was a promising method for the identification of Ophiopogon japonicus.关键词
高光谱/支持向量机/麦冬/产地鉴别Key words
Hyperspectrum/Support Vector Machine/Ophiopogon Japonicus/Region Identification分类
化学化工引用本文复制引用
陈碧佳,焦龙,李红,钟汉斌,娄俊豪,沈瑞华..高光谱结合支持向量机鉴别不同产地的麦冬药材[J].云南化工,2024,51(4):89-91,3.基金项目
国家自然科学基金(No.22373075) （No.22373075）
陕西省教育厅青年创新团队建设科研计划(No.21JP097、22JP064) （No.21JP097、22JP064）
川庆钻探公司-西安石油大学致密油气藏勘探开发研究中心科技项目(No.CQXA-2023-05) （No.CQXA-2023-05）
西安石油大学科研创新团队(2019QNKYCXTD17). （2019QNKYCXTD17）
