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http://bura.brunel.ac.uk/handle/2438/27958
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DC Field | Value | Language |
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dc.contributor.author | Cui, Y | - |
dc.contributor.author | Xu, Y | - |
dc.contributor.author | Han, D | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | Shen, Z | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Liang, J | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | Citrin, DS | - |
dc.contributor.author | Zhang, L | - |
dc.contributor.author | Nandi, AK | - |
dc.contributor.author | Yan, R | - |
dc.contributor.author | Chen, X | - |
dc.date.accessioned | 2024-01-02T15:37:36Z | - |
dc.date.available | 2024-01-02T15:37:36Z | - |
dc.date.issued | 2023-10-04 | - |
dc.identifier | ORCID iD: Yuqing Cui https://orcid.org/0000-0002-9162-6804 | - |
dc.identifier | ORCID iD: Yushan Hou https://orcid.org/0000-0002-8490-460X | - |
dc.identifier | ORCID iD: David S. Citrin https://orcid.org/0000-0002-3418-7745 | - |
dc.identifier | ORCID iD: Liuyang Zhang https://orcid.org/0000-0002-0130-3172 | - |
dc.identifier | ORCID iD: Asoke K. Nandi https://orcid.org/0000-0001-6248-2875 | - |
dc.identifier | ORCID iD: Xuefeng Chen https://orcid.org/0000-0002-0130-3172 | - |
dc.identifier.citation | Cui, Y. et al. (2023) 'Hidden-information extraction from layered structures through terahertz imaging down to ultralow SNR', Science Advances, 9 (40), pp. 1 - 9. doi: 10.1126/sciadv.adg8435. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27958 | - |
dc.description | Supplementary Materials are available online at: https://www.science.org/doi/suppl/10.1126/sciadv.adg8435/suppl_file/sciadv.adg8435_sm.pdf . | en_US |
dc.description.abstract | Copyright © 2023 The Authors. Noninvasive inspection of layered structures has remained a long-standing challenge for time-resolved imaging techniques, where both resolution and contrast are compromised by prominent signal attenuation, interlayer reflections, and dispersion. Our method based on terahertz (THz) time-domain spectroscopy overcomes these limitations by offering fine resolution and a broadband spectrum to efficiently extract hidden structural and content information from layered structures. We exploit local symmetrical characteristics of reflected THz pulses to determine the location of each layer, and apply a statistical process in the spatiotemporal domain to enhance the image contrast. Its superior performance is evidenced by the extraction of alphabetic characters in 26-layer subwavelength papers as well as layer reconstruction and debonding inspection in the conservation of Terra-Cotta Warriors. Our method enables accurate structure reconstruction and high-contrast imaging of layered structures at ultralow signal-to-noise ratio, which holds great potential for internal inspection of cultural artifacts, electronic components, coatings, and composites with dozens of submillimeter layers. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China (grant. 52175115). | en_US |
dc.format.extent | 1 - 9 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | American Association for the Advancement of Science | en_US |
dc.rights | Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | - |
dc.title | Hidden-information extraction from layered structures through terahertz imaging down to ultralow SNR | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1126/sciadv.adg8435 | - |
dc.relation.isPartOf | Science Advances | - |
pubs.issue | 40 | - |
pubs.publication-status | Published online | - |
pubs.volume | 9 | - |
dc.identifier.eissn | 2375-2548 | - |
dc.rights.holder | The Authors | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. | 1.34 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License