Search prefilters for mid‐infrared absorbance spectra of clear coat automotive paint smears using stacked and linear classifiers
Search prefilters for mid‐infrared absorbance spectra of clear coat automotive paint smears using stacked and linear classifiers
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使用堆叠和线性分类器搜索透明涂层汽车油漆涂片的中红外吸收光谱的预滤器
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
S. Brown
中科院分区：
文献类型：
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作者：
B. Lavine;A. Fasasi;N. Mirjankar;Mark Sandercock;S. Brown
通过使用堆叠的偏最小二乘分类器和遗传算法的特征选择和分类，它表明，搜索预过滤器可以开发，以提取调查铅信息，从明确的涂料涂料涂抹。在这项研究中获得的结果还表明，识别特定的波长或小波系数的红外光谱数据是上级识别信息波长窗口时，应用模式识别技术，从油漆数据查询（PDQ）数据库的红外光谱时，区分油漆样品组装厂。使用特定波长或小波系数开发的搜索预过滤器优于使用光谱区域的搜索预过滤器。来自PDQ数据库的透明涂层油漆光谱可能不太适合于堆叠，因为几乎没有光谱间隔可以可靠地区分不同的样品组（即，数据中的装配工厂。红外光谱中所包含的关于组装厂的信息可能不会在一个区间内高度划分，这也不利于堆叠。植物组内IR光谱的相似性和IR光谱中存在的噪声也可能使光谱间隔中存在的信息模糊。版权所有© 2014约翰威利父子有限公司.
By using stacked partial least squares classifiers and genetic algorithms for feature selection and classification, it is demonstrated that search prefilters can be developed to extract investigative lead information from clear coat paint smears. The results obtained in this study also show that identifying specific wavelengths or wavelet coefficients in IR spectral data is superior to identifying informative wavelength windows when applying pattern recognition techniques to IR spectra from the paint data query (PDQ) database when differentiating paint samples by assembly plant. Search prefilters developed using specific wavelengths or wavelet coefficients outperformed search prefilters that utilized spectral regions. Clear coat paint spectra from the PDQ database may not be well suited for stacking as there are few spectral intervals that can reliably distinguish the different sample groups (i.e., assembly plants) in the data. The information contained in the IR spectra about assembly plant may not be highly compartmentalized in an interval, which also works against stacking. The similarity of the IR spectra within a plant group and the noise present in the IR spectra may also be obscuring information present in spectral intervals. Copyright © 2014 John Wiley & Sons, Ltd.