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Hidden-information extraction from layered structures through terahertz imaging down to ultralow SNR

  • Xi'an Jiaotong University
  • University of Georgia
  • Georgia Institute of Technology
  • Brunel University London

科研成果: 期刊稿件文章同行评审

48 引用 (Scopus)

摘要

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.

源语言英语
文章编号eadg8435
期刊Science Advances
9
40
DOI
出版状态已出版 - 2023

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