太赫兹辐射
衰减
信号(编程语言)
对比度(视觉)
宽带
计算机科学
光学
材料科学
图像分辨率
图层(电子)
光电子学
人工智能
电信
物理
纳米技术
程序设计语言
作者
Yuqing Cui,Yafei Xu,Donghai Han,Xingyu Wang,Zhonglei Shen,Yushan Hou,Junyan Liang,Xianqiao Wang,D. S. Citrin,Liuyang Zhang,Asoke K. Nandi,Ruqiang Yan,Xuefeng Chen
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2023-10-04
卷期号:9 (40)
被引量:10
标识
DOI:10.1126/sciadv.adg8435
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.
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