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A system for rapid chemical identification based on infrared signatures

  • Published:2018-05-14 Issue: Volume: Page:
  • ISSN:
  • Container-title:Micro- and Nanotechnology Sensors, Systems, and Applications X
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Author:

Kendziora Christopher A.,Breshike Christopher J.,Furstenberg Robert,Nguyen Viet,McGill R. A.,Kusterbeck Andrew

Publisher

SPIE

Reference22 articles.

1. Infrared photothermal imaging spectroscopy for detection of trace explosives on surfaces

2. Stand-off detection of trace explosives via resonant infrared photothermal imaging

3. Methodology for using active infrared spectroscopy in standoff detection of trace explosives;Breshike,2017

4. Photothermal Methods for Laser-Based Detection of Explosives;Kendziora,2015

5. Stabilizing infrared quantum cascade laser beams for standoff detection applications;Breshike,2017

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Neural Networks and Data Accentuation for Standoff Detection of Dangerous Chemicals;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11

2. Machine learning algorithms for identification of trace explosives by active infrared backscatter hyperspectral imaging;Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII;2022-05-31

3. Broadband infrared laser characterization for use in snapshot stand-off detection of hazardous materials;Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII;2022-05-30

4. Spectral Considerations for Standoff Infrared Detection of RDX on Reflective Aluminum;Applied Spectroscopy;2021-11-03

5. Algorithms for identification of trace explosives by active infrared backscatter hyperspectral imaging;Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII;2021-04-12
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