首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于近红外光谱小波变换的温室番茄叶绿素含量预测
作者姓名:Ding YJ  Li MZ  Zheng LH  Zhao RJ  Li XH  An DK
作者单位:“现代精细农业系统集成研究”教育部重点实验室,中国农业大学,北京100083
基金项目:国家自然科学基金项目(30871453,31071330); 高等学校博士学科点专项科研基金项目(20100008110030)资助
摘    要:为了提高基于近红外光谱的温室番茄叶绿素含量预测精度,采用小波变换消除光谱中的随机噪声.但是在去噪的同时,也会降低有效信息量.因此,引入平滑指数(SI)和时移指数(TSI)对去噪效果进行量化,以控制变换尺度,获得最佳变换效果.实验表明TSI<0.01且SI>0.1004时,在去噪的同时,也能保留反映生化参量的特征峰,从而...

关 键 词:温室番茄  光谱分析  小波变换  叶绿素

Prediction of chlorophyll content of greenhouse tomato using wavelet transform combined with NIR spectra
Ding YJ,Li MZ,Zheng LH,Zhao RJ,Li XH,An DK.Prediction of chlorophyll content of greenhouse tomato using wavelet transform combined with NIR spectra[J].Spectroscopy and Spectral Analysis,2011,31(11):2936-2939.
Authors:Ding Yong-Jun  Li Min-Zan  Zheng Li-Hua  Zhao Rui-Jiao  Li Xiu-Hua  An Deng-Kui
Institution:DING Yong-jun,LI Min-zan,ZHENG Li-hua,ZHAO Rui-jiao,LI Xiu-hua,AN Deng-kui Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University,Beijing 100083,China
Abstract:In quantitative analysis of spectral data,noises and background interference always degrade the accuracy of spectral feature extraction.The wavelet transform is multi-scale decomposition used to reduce the noise and improve the analysis precision.On the other hand,the wavelet transform denoising is often followed by destroying the efficiency information.The present research introduced two indexes to control the scale of decomposition,the smoothness index(SI) and the time shift index(TSI).When the parameters...
Keywords:Greenhouse tomato  Spectral analysis  Wavelet transform  Chlorophyll  
本文献已被 CNKI 万方数据 PubMed 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