首页 | 本学科首页   官方微博 | 高级检索  
     

基于近红外光谱短波段的玉米品种鉴别研究
引用本文:卢洋,梁先扬,李卫军,张伟风. 基于近红外光谱短波段的玉米品种鉴别研究[J]. 河南大学学报(自然科学版), 2012, 42(3): 239-243
作者姓名:卢洋  梁先扬  李卫军  张伟风
作者单位:1. 中国科学院半导体研究所,北京100083;河南大学物理与电子学院,河南开封475001
2. 中国科学院半导体研究所,北京,100083
3. 河南大学物理与电子学院,河南开封,475001
摘    要:综合PCA、LDA和BPR提出了一种新的基于近红外光谱短波段的玉米品种鉴别方法.针对37个玉米品种的近红外光谱数据,以833nm作为起始波长,选取不同的截止波长,得到不同波段的数据,以此进行品种鉴别.实验结果表明:在833~1 087nm短波段,本文方法识别率达到97.60%,与全波段相比,波段范围缩小了84.71%,而识别率只下降2.16%.

关 键 词:近红外光谱  短波  仿生模式识别  玉米

Study on Corn Varieties Discrimination Based on Short Wave Band of NIR Spectra
LU Yang , LIANG Xian-yang , LI Wei-jun , ZHANG Wei-feng. Study on Corn Varieties Discrimination Based on Short Wave Band of NIR Spectra[J]. Journal of Henan University(Natural Science), 2012, 42(3): 239-243
Authors:LU Yang    LIANG Xian-yang    LI Wei-jun    ZHANG Wei-feng
Affiliation:1.Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083,China; 2.The Physics and Electronics College of Henan University,Henan Kaifeng 475001,China)
Abstract:A novel corn varieties discrimination method using short wave band of near-infrared spectra was combined PCA,LDA and BPR.The NIR spectra of 37 corn varieties was collected and extracted with different cut-off wavelength at the same start wavelength 833 nm,and then varieties discrimination was carried out.The results showed that in the 833~1 087 nm wave band,the highest correct rate reached 97.60%,decreased only by 2.16%,but with an 84.71% shortening rate in wave range compared with full band.
Keywords:near-infrared spectra  short wave  biomimetic pattern recognition  corn
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号