Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning.

ABSTRACT: Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand-off detection technique owing to its ability to penetrate optically opaque materials without causing ionization damage. While many chemicals exhibit distinct spectral features in the terahertz range, conventional terahertz-based detection methods often struggle in real-world environments, where variations in sample geometry, thickness, and packaging can lead to inconsistent spectral responses. In this study, we present a chemical imaging system that integrates THz-TDS with deep learning to enable accurate pixel-level identification and classification of different explosives. Operating in reflection mode and enha

SUBMITTER: Jiang X 

PROVIDER: S-EPMC12824377 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature