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Hyperspectral imaging using the single-pixel Fourier transform technique

Hyperspectral imaging technology is playing an increasingly important role in the fields of food analysis, medicine and biotechnology. To improve the speed of operation and increase the light throughput in a compact equipment structure, a Fourier transform hyperspectral imaging system based on a sin...

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Detalles Bibliográficos
Autores principales: Jin, Senlin, Hui, Wangwei, Wang, Yunlong, Huang, Kaicheng, Shi, Qiushuai, Ying, Cuifeng, Liu, Dongqi, Ye, Qing, Zhou, Wenyuan, Tian, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364546/
https://www.ncbi.nlm.nih.gov/pubmed/28338100
http://dx.doi.org/10.1038/srep45209
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author Jin, Senlin
Hui, Wangwei
Wang, Yunlong
Huang, Kaicheng
Shi, Qiushuai
Ying, Cuifeng
Liu, Dongqi
Ye, Qing
Zhou, Wenyuan
Tian, Jianguo
author_facet Jin, Senlin
Hui, Wangwei
Wang, Yunlong
Huang, Kaicheng
Shi, Qiushuai
Ying, Cuifeng
Liu, Dongqi
Ye, Qing
Zhou, Wenyuan
Tian, Jianguo
author_sort Jin, Senlin
collection PubMed
description Hyperspectral imaging technology is playing an increasingly important role in the fields of food analysis, medicine and biotechnology. To improve the speed of operation and increase the light throughput in a compact equipment structure, a Fourier transform hyperspectral imaging system based on a single-pixel technique is proposed in this study. Compared with current imaging spectrometry approaches, the proposed system has a wider spectral range (400–1100 nm), a better spectral resolution (1 nm) and requires fewer measurement data (a sample rate of 6.25%). The performance of this system was verified by its application to the non-destructive testing of potatoes.
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spelling pubmed-53645462017-03-28 Hyperspectral imaging using the single-pixel Fourier transform technique Jin, Senlin Hui, Wangwei Wang, Yunlong Huang, Kaicheng Shi, Qiushuai Ying, Cuifeng Liu, Dongqi Ye, Qing Zhou, Wenyuan Tian, Jianguo Sci Rep Article Hyperspectral imaging technology is playing an increasingly important role in the fields of food analysis, medicine and biotechnology. To improve the speed of operation and increase the light throughput in a compact equipment structure, a Fourier transform hyperspectral imaging system based on a single-pixel technique is proposed in this study. Compared with current imaging spectrometry approaches, the proposed system has a wider spectral range (400–1100 nm), a better spectral resolution (1 nm) and requires fewer measurement data (a sample rate of 6.25%). The performance of this system was verified by its application to the non-destructive testing of potatoes. Nature Publishing Group 2017-03-24 /pmc/articles/PMC5364546/ /pubmed/28338100 http://dx.doi.org/10.1038/srep45209 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Jin, Senlin
Hui, Wangwei
Wang, Yunlong
Huang, Kaicheng
Shi, Qiushuai
Ying, Cuifeng
Liu, Dongqi
Ye, Qing
Zhou, Wenyuan
Tian, Jianguo
Hyperspectral imaging using the single-pixel Fourier transform technique
title Hyperspectral imaging using the single-pixel Fourier transform technique
title_full Hyperspectral imaging using the single-pixel Fourier transform technique
title_fullStr Hyperspectral imaging using the single-pixel Fourier transform technique
title_full_unstemmed Hyperspectral imaging using the single-pixel Fourier transform technique
title_short Hyperspectral imaging using the single-pixel Fourier transform technique
title_sort hyperspectral imaging using the single-pixel fourier transform technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5364546/
https://www.ncbi.nlm.nih.gov/pubmed/28338100
http://dx.doi.org/10.1038/srep45209
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