Fast fingerprint scanning and chemical composition identification of a large-scale material surface by a combined HSI-LIBS operation-Reference-Cited by-同舟云学术

Fast fingerprint scanning and chemical composition identification of a large-scale material surface by a combined HSI-LIBS operation

Published:2024 Issue:2 Volume:39 Page:306-309
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Zhao Shangyong¹²^ORCID,Hou Zongyu²³,Wang Zhe²³

Affiliation:

1. Zhejiang A&F University, College of Opto-Electro-Mechanical Engineering, Hangzhou, 311300, P. R. China

2. State Key Lab of Energy Systems, International Joint Laboratory on Low Carbon Clean Energy Innovation, Department of Energy and Power Engineering, Tsinghua University, Beijing, 100084, P. R. China

3. Energy and Tsinghua-Rio Tinto Joint Research Center for Resources Energy and Sustainable Development, Tsinghua University, Beijing, 100084, P. R. China

Abstract

An experimental solution that combines hyperspectral imaging (HSI) and laser-induced breakdown spectroscopy (LIBS) applied to large-scale material surface chemical analysis is investigated..

Funder

National Natural Science Foundation of China

China National Nuclear Corporation

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/JA/D3JA00448A

Reference16 articles.

1. Characterization methods of organic electrode materials

2. Classification of ginseng according to plant species, geographical origin, and age using laser-induced breakdown spectroscopy and hyperspectral imaging

3. Brand identification of transparent intumescent fire retardant coatings using portable Raman spectroscopy and machine learning

4. Grade classification of human glioma using a convolutional neural network based on mid‐infrared spectroscopy mapping

5. Hyperspectral image classification using multiobjective optimization