| 用Daubechies小波软阈值法对近红外光谱数据进行预处理 |
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| 引用本文： | 李敏. 用Daubechies小波软阈值法对近红外光谱数据进行预处理[J]. 红外, 2015, 36(1): 30-34 |
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| 作者姓名： | 李敏 |
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| 作者单位： | 乐山师范学院物理与电子工程学院,四川乐山,614000 |
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| 基金项目： | 四川省教育厅重点研究项目（12ZA070） |
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| 摘 要： | 提出了一种基于Daubechies小波软阈值的近红外光谱预处理方法,并用该方法处理了两类不同苹果的近红外光谱数据。该方法选用归一化相关系数(Normalized Correlation,NC)和峰值信噪比(Peak Signal to Noise Ratio,PSNR)作为定量分析指标.与常用的矢量归一化法(Vector Normalization,VN)和标准正态变量校正法(Standard normal Variate,SNV)相比,该方法优势明显,既能有效去除噪声,又能很好地保留光谱的特征细节信息,提高了后续光谱分析过程中建模的稳健性和模型预测的精确度.
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| 关 键 词： | 近红外光谱 预处理 Daubechies小波 软阈值 |
| 收稿时间： | 2014-10-31 |
| 修稿时间： | 2014-11-12 |
Near Infrared Spectrum Preprocessing Using Daubechies Wavelet Soft Threshold Method |
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| LI Min. Near Infrared Spectrum Preprocessing Using Daubechies Wavelet Soft Threshold Method[J]. Infrared, 2015, 36(1): 30-34 |
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| Authors: | LI Min |
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| Affiliation: | School of Physics Electrical Engineer of Leshan Normal University |
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| Abstract: | A near infrared spectrum preprocessingmethod based on Daubechies wavelet threshold is proposed. It isused to process the near infrared spectra of two kinds of apples.In the method, the normalized Correlation Coefficient (NC) andPeak Signal to Noise Ratio (PSNR) are selected as a quantitativeanalysis index. Compared with the Vector Normalization (VN) andStandard Normal Variate (SNV), the method has obvious advantages.It not only can effectively remove noises, but also can retain thedetails of spectral characteristics. So, the robustness ofmodeling and the accuracy of the established model can be improvedin the subsequent spectral analysis. |
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| Keywords: | near infrared spectrum data preprocessing daubechies wavelet soft threshold |
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