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基于小波模极大值的木材近红外光谱去噪
引用本文:王学顺,戚大伟,黄安民.基于小波模极大值的木材近红外光谱去噪[J].林业科学,2008,44(10).
作者姓名:王学顺  戚大伟  黄安民
作者单位:1. 东北林业大学理学院,哈尔滨,150040北京林业大学理学院,北京,100083
2. 东北林业大学理学院,哈尔滨,150040
3. 中国林业科学研究院木材工业研究所,北京,100091
基金项目:黑龙江省哈尔滨市科技攻关项目,黑龙江省博士后科研启动基金
摘    要:将光谱一阶导数与小波变换相结合,对杉木木材近红外光谱数据进行预处理,采用db3小波对光谱数据进行4尺度分解,在各分解尺度上根据信号和噪声的不同传播特性.保留信号的模极大值,去除噪声的模极大值.结果表明:光谱导数 小波变换模极大值能够有效消除光谱噪声和各种因素干扰,并很好保留了光谱信号特征,使光谱信噪比有了较大提高.

关 键 词:近红外光谱  小波变换  模极大值  去噪

Denoising of Near Infrared Spectroscopy in Wood Based on Wavelet Transform Modulus Maximum
Wang Xueshun,Qi Dawei,Huang Anmin.Denoising of Near Infrared Spectroscopy in Wood Based on Wavelet Transform Modulus Maximum[J].Scientia Silvae Sinicae,2008,44(10).
Authors:Wang Xueshun  Qi Dawei  Huang Anmin
Abstract:Spectroscopic data of wood samples gathering by spectroscopic instruments are disturbed by a series of noises and interferences,therefore the proper data preprocessing is very important for model establishment and achievement of accurate analytical result. This paper was direct application of wavelet transform combined with first derivative in spectrum preprocessing of Chinese Fir. Using the db3 wavelet to resolve spectrum data in four races. In addition,according to the different characteristics of transformation between signal and noise in different resolve races,to hold back the maximum of signal model and dislodge the minimum of the noise model.The results showed that the combination of first derivative and wavelet transform modulus maximum was able to eliminate spectroscopic noises and interferences as well as reserve major information. It contributed to increase analysis quality and precision of the near infrared.
Keywords:near infrared spectroscopy  wavelet transform  modulus maximum  denoising
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