| 小波去噪在基于近红外光谱的砂糖橘水分检测的应用 |
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| 引用本文： | 代芬,李岩,冯栋.小波去噪在基于近红外光谱的砂糖橘水分检测的应用[J].湖南科技学院学报,2011,32(8):36-39. |
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| 作者姓名： | 代芬 李岩 冯栋 |
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| 作者单位： | 华南农业大学工程学院,广州,510642 |
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| 基金项目： | 国家现代农业(柑橘)产业技术体系建设专项资金资助项目，华南农业大学校长基金资助项目 |
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| 摘 要： | 水分含量是衡量砂糖橘营养品质的重要指标之一,其快速无损检测显得越来越重要。本文基于小波变换的方法,对砂糖橘的500-2500nm区间的漫反射光谱,利用正交小波函数DBn(n=2,3,…10)分别进行2-6五个水平分解和消噪,并比较了不同小波函数和不同分解水平的消噪效果。结果表明,小波消噪有利于消除导数光谱中的噪声,提高建模精度,基于小波函数DB3(分解尺度为3)消噪后的导数光谱建立的PLS模型的预测相关系数为0.8725,预测均方根误差为0.6767。
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| 关 键 词： | 砂糖橘 红外光谱 含水量 小波消噪 |
Analysis of the Near Infrared Spectroscopy Based on Wavelet De-noising |
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| DAI Fen,LI Yan,FENG Dong.Analysis of the Near Infrared Spectroscopy Based on Wavelet De-noising[J].Journal of Hunan University of Science and Engineering,2011,32(8):36-39. |
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| Authors: | DAI Fen LI Yan FENG Dong |
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| Institution: | (College of Engineering,South China Agricultural University,Guangzhou,510642,China) |
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| Abstract: | water content is one of the most important nutrition material in shatangju oranges.The fast and nondestructive examination of water content in sugar oranges is more and more important.Firstly,the spectra of Shatangju samples within 500-2500nm were decomposed in level 2-6 using the orthogonal wavelet functions DBn（n=2,3,…10）.And then the de-noise results of different wavelet functions and different decomposing levels were compared.Wavelet de-noise（WD） was examined to be the optimal spectrum preprocessing method.The PLS model based on derivative spectra with DB3 wavelet de-noise（in decomposition level 3） produced best result（RMSEP=0.6767,Rp =0.8725）. |
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| Keywords: | Shatangju Near infrared（NIR） spectrometry Water content Wavelet de-noising |
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