期刊
JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS
卷 3, 期 -, 页码 -出版社
SPRINGER
DOI: 10.2971/jeos.2008.08011
关键词
Laser-induced breakdown spectroscopy (LIBS); artificial neural network (ANN); quantitative spectroscopy of minerals; laser instrumentation for planetary exploration
类别
资金
- Canadian Space Agency
The Laser-Induced Breakdown Spectroscopy (LIBS) is an emerging technique with great potential in atomic elemental analysis in many areas, particularly, in space exploration. In this paper, an algorithm for automated identification of elements and measurements of their concentrations in rocks and soils, as well as its experimental validation are presented. The proposed approach is based on the artificial neural network (ANN). We demonstrate that the ANN algorithm works successfully for all major elements of geological interest tested on natural rock and soil samples. [DOI: 10.2971/jeos.2008.08011]
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