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首页> 外文期刊>Journal of spectroscopy >Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
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Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

机译：基于类比​​分析软独立建模的激光诱导击穿光谱法对地质样品进行分类

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摘要

Laser-induced breakdown spectroscopy with soft independent modeling of class analogy is used in the identification of a large number of unprocessed geological samples having similar components in this study. Considering a variety of data from different samples, representative spectral regions representing the major components were extracted. In addition, principal component analysis was applied to remove noninformative variables from the spectrum. The unclassification rate, misclassification rate, and average correct classification rate for 25 types of geological samples were 1.2%, 4.7%, and 94.1%, respectively. These results suggest that laser-induced breakdown spectroscopy using soft independent modeling of class analogy can be used to identify a wide variety of geological samples. Furthermore, we found that this approach can be used to identify spectral differences among similar sample types because of matrix effects and the trace element impurities.
机译：在本研究中，使用具有类比的软独立建模的激光诱导击穿光谱法来鉴定大量具有相似成分的未处理地质样品。考虑到来自不同样品的各种数据，提取了代表主要成分的代表性光谱区域。另外，应用主成分分析从光谱中去除非信息变量。 25种地质样品的未分类率，错误分类率和平均正确分类率分别为1.2％，4.7％和94.1％。这些结果表明，使用类比的软独立建模的激光诱导击穿光谱法可以用于识别各种地质样品。此外，我们发现由于基质效应和痕量元素杂质，该方法可用于识别相似样品类型之间的光谱差异。

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