基于高光谱图像技术的罂粟种子活性无损检测  

Research on Non-destructive Detection of Papaver somniferum Seed Activity Based on Hyperspectral Images Technology

作　　者：陈云霞 张若妍 田智中 谢嘉华 梁善咨 涂嘉宜 汪希伟[3] 邢晓阳 CHEN Yunxia;ZHANG Ruoyan;TIAN Zhizhong;XIE Jiahua;LIANG Shanzi;TU Jiayi;WANG Xiwei;XING Xiaoyang(College of Criminal Science and Technology,Nanjing Police University,Nanjing 210023,China;Key Laboratory of Wildlife Evidence Technology,National Forestry and Grassland Administration,Nanjing Police College,Nanjing 210023,China;Nanjing Forestry University,Nanjing 210037,China)

机构地区：[1]南京警察学院刑事科学技术学院,南京210023 [2]南京警察学院/野生动植物物证技术国家林业和草原局重点实验室,南京210023 [3]南京林业大学,南京210037

出　　处：《种子》2024年第4期141-146,共6页Seed

基　　金：公安部理论及软科学研究计划项目(2020LLYJSLJY 041);国家级大学生创新创业训练计划支持项目(202012213019);江苏省“十四五”重点建设学科“公安技术”项目(2022)。

摘　　要：罂粟种子是否具有活性是打击非法持有毒品原植物种子等相关犯罪的主要法庭证据。为实现罂粟种子活性的快速无损检测,本研究首次采用高光谱图像技术结合种子发芽率建立罂粟种子活性的预测模型,分别采用偏最小二乘回归法(PLSR)、支持向量回归法(SVR)和极限学习机法(ELM)建立预测模型。结果表明,全波段预测时,采用ELM建立的预测模型性能最佳,R_(p)为0.9204;在使用特征波段光谱数据建立预测模型时,相较于全波段模型,在模型性能上均有所提升,其中采用ELM在连续投影算法(SPA)选取的特征波段建立的预测模型的性能最佳,R_(p)为0.9285。表明采用高光谱图像技术检测罂粟种子活性的方法可行,该方法可以无损、快速地检测罂粟种子活性,为打击非法种植毒品原植物的相关犯罪活动提供技术支持。The viability of Papaver somniferum seeds is the main forensic evidence against crimes related to the illegal possession of drug seed.In order to achieve rapid non-destructive testing of Papaver somniferum seed activity,hyperspectral image technology combined with seed germination rate was used for the first time in this study to establish the prediction model of Papaver somniferum seed activity,and partial least square regression(PLSR),support vector regression(SVR)and extreme learning machine(ELM)were used to establish the prediction model,respectively.The results showed that the prediction model based on ELM had the best performance and R_(p)was 0.9204.Compared with the full-band model,the performance of the prediction model was improved by using the spectral data of the feature band selected by ELM in the continuous projection algorithm(SPA).The performance of the prediction model established by ELM in the feature band selected by SPA was the best,and the R_(p)was 0.9285.The results showed that the method of detecting poppy seed activity by hyperspectral image was feasible.The method could detect poppy seed activity nondestructively and quickly,and provide technical support for combating the related criminal activities of illegal cultivation of drug plants.

关 键 词：罂粟 种子活性 高光谱成像 无损检测 预测模型 

分 类 号：S567.212[农业科学—中草药栽培]