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A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement

Spectral reflectance or transmittance measurements provide intrinsic information on the material of an object and are widely used in remote sensing, agriculture, diagnostic medicine, etc. Most reconstruction-based spectral reflectance or transmittance measurement methods based on broadband active il...

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Detalles Bibliográficos
Autores principales: Jiang, Peng, Wang, Xiaoxu, Zhang, Zihui, Gu, Guochao, Li, Jifeng, Wu, Heng, He, Limin, Lin, Guanyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221250/
https://www.ncbi.nlm.nih.gov/pubmed/37430522
http://dx.doi.org/10.3390/s23104608
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author Jiang, Peng
Wang, Xiaoxu
Zhang, Zihui
Gu, Guochao
Li, Jifeng
Wu, Heng
He, Limin
Lin, Guanyu
author_facet Jiang, Peng
Wang, Xiaoxu
Zhang, Zihui
Gu, Guochao
Li, Jifeng
Wu, Heng
He, Limin
Lin, Guanyu
author_sort Jiang, Peng
collection PubMed
description Spectral reflectance or transmittance measurements provide intrinsic information on the material of an object and are widely used in remote sensing, agriculture, diagnostic medicine, etc. Most reconstruction-based spectral reflectance or transmittance measurement methods based on broadband active illumination use narrow-band LEDs or lamps combined with specific filters as spectral encoding light sources. These light sources cannot achieve the designed spectral encoding with a high resolution and accuracy due to their low degree of freedom for adjustment, leading to inaccurate spectral measurements. To address this issue, we designed a spectral encoding simulator for active illumination. The simulator is composed of a prismatic spectral imaging system and a digital micromirror device. The spectral wavelengths and intensity are adjusted by switching the micromirrors. We used it to simulate spectral encodings according to the spectral distribution on micromirrors and solved the DMD patterns corresponding to the spectral encodings with a convex optimization algorithm. To verify the applicability of the simulator for spectral measurements based on active illumination, we used it to numerically simulate existing spectral encodings. We also numerically simulated a high-resolution Gaussian random measurement encoding for compressed sensing and measured the spectral reflectance of one vegetation type and two minerals through numerical simulations. We reconstructed the spectral transmittance of a calibrated filter through an experiment. The results show that the simulator can measure the spectral reflectance or transmittance with a high resolution and accuracy.
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spelling pubmed-102212502023-05-28 A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement Jiang, Peng Wang, Xiaoxu Zhang, Zihui Gu, Guochao Li, Jifeng Wu, Heng He, Limin Lin, Guanyu Sensors (Basel) Article Spectral reflectance or transmittance measurements provide intrinsic information on the material of an object and are widely used in remote sensing, agriculture, diagnostic medicine, etc. Most reconstruction-based spectral reflectance or transmittance measurement methods based on broadband active illumination use narrow-band LEDs or lamps combined with specific filters as spectral encoding light sources. These light sources cannot achieve the designed spectral encoding with a high resolution and accuracy due to their low degree of freedom for adjustment, leading to inaccurate spectral measurements. To address this issue, we designed a spectral encoding simulator for active illumination. The simulator is composed of a prismatic spectral imaging system and a digital micromirror device. The spectral wavelengths and intensity are adjusted by switching the micromirrors. We used it to simulate spectral encodings according to the spectral distribution on micromirrors and solved the DMD patterns corresponding to the spectral encodings with a convex optimization algorithm. To verify the applicability of the simulator for spectral measurements based on active illumination, we used it to numerically simulate existing spectral encodings. We also numerically simulated a high-resolution Gaussian random measurement encoding for compressed sensing and measured the spectral reflectance of one vegetation type and two minerals through numerical simulations. We reconstructed the spectral transmittance of a calibrated filter through an experiment. The results show that the simulator can measure the spectral reflectance or transmittance with a high resolution and accuracy. MDPI 2023-05-10 /pmc/articles/PMC10221250/ /pubmed/37430522 http://dx.doi.org/10.3390/s23104608 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Peng
Wang, Xiaoxu
Zhang, Zihui
Gu, Guochao
Li, Jifeng
Wu, Heng
He, Limin
Lin, Guanyu
A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement
title A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement
title_full A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement
title_fullStr A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement
title_full_unstemmed A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement
title_short A Spectral Encoding Simulator for Broadband Active Illumination and Reconstruction-Based Spectral Measurement
title_sort spectral encoding simulator for broadband active illumination and reconstruction-based spectral measurement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221250/
https://www.ncbi.nlm.nih.gov/pubmed/37430522
http://dx.doi.org/10.3390/s23104608
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