Publication result detail

Fast identification of biominerals by means of stand-off laser induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

VÍTKOVÁ, G.; NOVOTNÝ, K.; PROKEŠ, L.; HRDLIČKA, A.; KAISER, J.; NOVOTNÝ, J.; MALINA, R.; PROCHÁZKA, D.

Original Title

Fast identification of biominerals by means of stand-off laser induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

English Title

Fast identification of biominerals by means of stand-off laser induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks

Type

WoS Article

Original Abstract

The goal of this paper is to compare two selected statistical techniques used for identification of archeological materials merely on the base of their spectra obtained by stand-off laser-induced breakdown spectroscopy (stand-off LIBS). Data processing using linear discriminant analysis (LDA) and artificial neural networks (ANN) were applied on spectra of 18 different samples, some of them archeological and some recent, containing 7 types of material (i.e. shells, mortar, bricks, soil pellets, ceramic, teeth and bones). As the input data PCA scores were taken. The intended aim of this work is to create a database for simple and fast identification of archeological or paleontological materials in situ. This approach can speed up and simplify the sampling process during archeological excavations that nowadays tend to be quite damaging and timeconsuming.

English abstract

The goal of this paper is to compare two selected statistical techniques used for identification of archeological materials merely on the base of their spectra obtained by stand-off laser-induced breakdown spectroscopy (stand-off LIBS). Data processing using linear discriminant analysis (LDA) and artificial neural networks (ANN) were applied on spectra of 18 different samples, some of them archeological and some recent, containing 7 types of material (i.e. shells, mortar, bricks, soil pellets, ceramic, teeth and bones). As the input data PCA scores were taken. The intended aim of this work is to create a database for simple and fast identification of archeological or paleontological materials in situ. This approach can speed up and simplify the sampling process during archeological excavations that nowadays tend to be quite damaging and timeconsuming.

Keywords

Stand off LIBS, PCA, LDA, ANN. Archeology

Key words in English

Stand off LIBS, PCA, LDA, ANN. Archeology

Authors

VÍTKOVÁ, G.; NOVOTNÝ, K.; PROKEŠ, L.; HRDLIČKA, A.; KAISER, J.; NOVOTNÝ, J.; MALINA, R.; PROCHÁZKA, D.

RIV year

2013

Released

07.06.2012

ISBN

0584-8547

Periodical

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Volume

73

Number

7

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

6

Pages count

6

BibTex

@article{BUT92595,
  author="Gabriela {Vítková} and Karel {Novotný} and Jozef {Kaiser} and Lubomír {Prokeš} and Aleš {Hrdlička} and Jan {Novotný} and Radomír {Malina} and David {Procházka}",
  title="Fast identification of biominerals by means of stand-off laser induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks",
  journal="SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY",
  year="2012",
  volume="73",
  number="7",
  pages="1--6",
  doi="10.1016/j.sab.2012.05.010",
  issn="0584-8547"
}