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Infrared backscatter imaging spectroscopy for standoff detection of trace explosives

  • Published:2019-05-17 Issue: Volume: Page:
  • ISSN:
  • Container-title:Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX
  • language:
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Author:

Breshike Christopher J.,Kendziora Christopher A.,Yoon Yohan,Furstenberg Robert,Nguyen Viet,McGill R. A.

Publisher

SPIE

Reference13 articles.

1. Ion mobility spectrometers in national defense;Eiceman;Anal. Chem.,2004

2. Keepers of the Gate;Jacoby;C & EN,2009

3. Highspeed midinfrared hyperspectral imagin using quantum cascade lasers;Kelley,2017

4. Active standoff chemical identification detector;Giblin,2018

5. Standoff Mechanical Resonance Spectroscopy Based on Infrared-Sensitive Hydrogel Microcantilevers

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1. Optimizing machine learning algorithms for hyperspectral imaging and trace detection;Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXX;2024-06-07

2. Effect of evaporation on the limit of detection of explosive traces by active spectral imaging;AIP Advances;2023-07-01

3. Ground-Based Hyperspectral Image Surveillance System for Explosive Detection: Methods, Experiments, and Comparisons;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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

5. 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
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