2015
DOI: 10.1016/j.sab.2015.09.022
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Evaluation of the standard normal variate method for Laser-Induced Breakdown Spectroscopy data treatment applied to the discrimination of painting layers

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Cited by 55 publications
(25 citation statements)
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“…While numerous works evaluated pre-processing of spectral data with a view of improving the prediction models of a variable [32,35,36], results varied depending on the type of variable that was determined and whether or not the pre-processing was combined with other kinds of pre-processing. Combination could explain the unsuitability of models computed with pre-processed spectral data.…”
Section: Discussionmentioning
confidence: 99%
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“…While numerous works evaluated pre-processing of spectral data with a view of improving the prediction models of a variable [32,35,36], results varied depending on the type of variable that was determined and whether or not the pre-processing was combined with other kinds of pre-processing. Combination could explain the unsuitability of models computed with pre-processed spectral data.…”
Section: Discussionmentioning
confidence: 99%
“…Spectral data pre-processed by a jump correction tool were transformed using five techniques: (i) Derivatives, (ii) SNV, (iii) MSC, (iv) de-trending, and (v) CR transformation. In this section, we describe an approach based on work described in the literature (mainly [32], but also [35,36]).…”
Section: Transformationmentioning
confidence: 99%
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“…Background normalization has proved to be an effective method for the problem of the matrix effect, since the intensity of the continuum radiation directly relates to the plasma [ 16 ]; however, it may restrict the laser energy in a small range [ 26 ]. Standard normal variate (SNV) can be used to minimize unwanted variations caused by particle size distribution [ 27 ], as well as to deal with multivariate analysis [ 28 ].…”
Section: Introductionmentioning
confidence: 99%
“…Among the preprocessing methods, best calibration results were achieved with the MSC and SNV normalizations. It has been proven that SNV normalization could be used to compensate the laser fluctuation [ 40 ]. The improvement of background and area normalizations was limited, and the sensitivity of those was even reduced.…”
Section: Resultsmentioning
confidence: 99%