基于MAsLS的邮件太赫兹光谱重建技术研究

李涛; 王超; 张健; 乔德军; 张婧

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基于MAsLS的邮件太赫兹光谱重建技术研究

太赫兹技术 | 更新时间：2026-05-20

- 基于MAsLS的邮件太赫兹光谱重建技术研究
- Research on terahertz spectral reconstruction technology of Mail based on MAsLS
- 光学技术 2026年52卷第3期页码：355-360
- 作者机构：
  
  1.邯郸学院软件学院,河北省光纤生物传感与通信器件重点实验室，河北邯郸 056005
  2.冀南技师学院，河北邯郸 056011
- 作者简介：
  
  李涛（1982— ），男，讲师，博士，从事太赫兹检测技术与智能仪器研究。litao9106@126.com
- 基金信息：
  
  邯郸市科学技术研究与发展计划项目(23422402150ZC;25422021188ZC);河北省高等学校科学研究项目(ZC2026340);国家重点研发项目(2022YFC2302700)
- DOI：
  中图分类号： O433.4
- 收稿：2026-02-04，
  
  修回：2026-04-22，
  
  纸质出版：2026-05-20
- 稿件说明：
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李涛,王超,张健等.基于MAsLS的邮件太赫兹光谱重建技术研究[J].光学技术,2026,52(03):355-360.

LI Tao,WANG Chao,ZHANG Jian,et al.Research on terahertz spectral reconstruction technology of Mail based on MAsLS[J].OPTICAL TECHNIQUE,2026,52(03):355-360.
李涛,王超,张健等.基于MAsLS的邮件太赫兹光谱重建技术研究[J].光学技术,2026,52(03):355-360. DOI：

LI Tao,WANG Chao,ZHANG Jian,et al.Research on terahertz spectral reconstruction technology of Mail based on MAsLS[J].OPTICAL TECHNIQUE,2026,52(03):355-360. DOI：

摘要

随着电子商务行业的快速发展，邮件无损检测技术变得愈发关键。太赫兹技术凭借其独特的指纹光谱特性和穿透非极性材料的能力，已成为邮件隐匿危险源检测的优选方案。文章探究邮件包装材料对太赫兹光谱的影响，成功构建邮件太赫兹透射模型，并详细剖析样品与包装材料间不规则间隙对太赫兹光谱的复杂干扰机制。在此基础上，提出了一种基于多重非对称最小二乘（MAsLS）拟合方法的光谱重建技术。结合无效数据滤波算法，运用逻辑判别序列精确重建样品的太赫兹吸收光谱。实验表明该方法可有效滤除包装间隙导致的低频波动与干扰峰。对10种物质的光谱样本进行分类测试，SVM模型识别准确率从85.27%提升至92.19%，MLP神经网络模型准确率达96.09%，较重建前提高近8个百分点。该方法为太赫兹辐射邮件检测系统的实用化提供了技术支撑，在邮件快速筛查领域具有应用价值。

Abstract

With the rapid development of the e-commerce industry

non-destructive testing technology for mail has become increasingly critical. Terahertz technology

with its unique fingerprint spectral characteristics and ability to penetrate non-polar materials

has become the preferred solution for detecting hidden hazards in mail. The influence of mail packaging materials on terahertz spectra is deeply explored in this article

a terahertz transmission model for mails is successfully constructed

and the complex interference mechanism of irregular gaps between samples and packaging materials on terahertz spectra is analyzed in detail. On this basis

a spectral reconstruction technique based on multiple asymmetric least squares （MAsLS） fitting method is proposed. Combining with the invalid data filtering algorithm

use logical discrimination sequence to accurately reconstruct the terahertz absorption spectrum of the sample. The experimental verification results of spectral samples of 10 substances showed that the recognition accuracy of SVM model increased from 85.27% to 92.19%

and the accuracy of MLP neural network model reached 96.09%

which was nearly 8 percentage points higher than before reconstruction. This method provides technical support for the practical application of terahertz radiation mail detection system and has practical value in the field of rapid screening of mail items.

关键词

Keywords

references

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