Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

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 repres...

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Main Authors: Ying Zhang, Ying Li, Wendong Li, Zigang Sun, Yunfeng Bi
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2018/3683089
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spelling doaj-a495ca3f756648b6bc56669bf3f63fee2020-11-25T00:48:37ZengHindawi LimitedJournal of Spectroscopy2314-49202314-49392018-01-01201810.1155/2018/36830893683089Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown SpectroscopyYing Zhang0Ying Li1Wendong Li2Zigang Sun3Yunfeng Bi4Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao, Shandong 266100, ChinaOptics and Optoelectronics Laboratory, Ocean University of China, Qingdao, Shandong 266100, ChinaOptics and Optoelectronics Laboratory, Ocean University of China, Qingdao, Shandong 266100, ChinaOptics and Optoelectronics Laboratory, Ocean University of China, Qingdao, Shandong 266100, ChinaCollege of Electromechanical and Information Engineering, Shandong University, Weihai, Shandong 264209, ChinaLaser-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.http://dx.doi.org/10.1155/2018/3683089
collection DOAJ
language English
format Article
sources DOAJ
author Ying Zhang
Ying Li
Wendong Li
Zigang Sun
Yunfeng Bi
spellingShingle Ying Zhang
Ying Li
Wendong Li
Zigang Sun
Yunfeng Bi
Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
Journal of Spectroscopy
author_facet Ying Zhang
Ying Li
Wendong Li
Zigang Sun
Yunfeng Bi
author_sort Ying Zhang
title Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
title_short Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
title_full Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
title_fullStr Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
title_full_unstemmed Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy
title_sort classification of geological samples based on soft independent modeling of class analogy using laser-induced breakdown spectroscopy
publisher Hindawi Limited
series Journal of Spectroscopy
issn 2314-4920
2314-4939
publishDate 2018-01-01
description 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.
url http://dx.doi.org/10.1155/2018/3683089
work_keys_str_mv AT yingzhang classificationofgeologicalsamplesbasedonsoftindependentmodelingofclassanalogyusinglaserinducedbreakdownspectroscopy
AT yingli classificationofgeologicalsamplesbasedonsoftindependentmodelingofclassanalogyusinglaserinducedbreakdownspectroscopy
AT wendongli classificationofgeologicalsamplesbasedonsoftindependentmodelingofclassanalogyusinglaserinducedbreakdownspectroscopy
AT zigangsun classificationofgeologicalsamplesbasedonsoftindependentmodelingofclassanalogyusinglaserinducedbreakdownspectroscopy
AT yunfengbi classificationofgeologicalsamplesbasedonsoftindependentmodelingofclassanalogyusinglaserinducedbreakdownspectroscopy
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