Composition analysis of white mineral pigment based on convolutional neural network and Raman spectrum-Reference-Cited by-同舟云学术

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Composition analysis of white mineral pigment based on convolutional neural network and Raman spectrum

Published:2022-01-11 Issue:4 Volume:53 Page:746-754
ISSN:0377-0486
Container-title:Journal of Raman Spectroscopy
language:en
Short-container-title:J Raman Spectroscopy

Author:

Qi Wenbo¹^ORCID,Mu Taotao¹,Chen Shaohua¹,Wang Yao¹

Affiliation:

1. School of Instrumentation Science and Opto‐electronics Engineering Beijing Information Science and Technology University Beijing China

Funder

Shenzhen Science and Technology Innovation Program

National Natural Science Foundation of China

Beijing Information Science and Technology University

Shenzhen Graduate School, Peking University

Publisher

Wiley

Subject

Spectroscopy,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrs.6300

Reference34 articles.

1. Compositional variability of pigments and related materials used in stone reliefs from the Tula Archaeological Zone, Mexico: Overcoming challenges of a highly restored site

2. Identification of Historic Artists' Pigments Using Spectral Reflectance and X-Ray Diffraction Properties I. Iron Oxide and Oxy-Hydroxide-Rich Pigments

3. Identifying eighteenth century pigments at the Bodleian library using in situ Raman spectroscopy, XRF and hyperspectral imaging

4. Petrologic analysis of mineral pigments from hunter-gatherers archaeological contexts (Southeastern Pampean region, Argentina)

5. Novel application of X-ray fluorescence microscopy (XFM) for the non-destructive micro-elemental analysis of natural mineral pigments on Aboriginal Australian objects

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1. Application of Image Sensing System in Mineral/Rock Identification: Sensing Mode and Information Process;Advanced Intelligent Systems;2023-08-17

2. Recent Progresses in Machine Learning Assisted Raman Spectroscopy;Advanced Optical Materials;2023-04-26

3. An end‐to‐end deep learning approach for Raman spectroscopy classification;Journal of Chemometrics;2022-12-20

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