Detail publikačního výsledku

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.

Originální název

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

Anglický název

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

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Stand off LIBS, PCA, LDA, ANN. Archeology

Klíčová slova v angličtině

Stand off LIBS, PCA, LDA, ANN. Archeology

Autoři

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

Rok RIV

2013

Vydáno

07.06.2012

ISSN

0584-8547

Periodikum

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY

Svazek

73

Číslo

7

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

6

Strany počet

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"
}