Emerging explosive threat analysis for using threat anomaly detection (ThreAD)

Eric R. Languirand; Amee L. Polk; Michael F. Kauzlarich; Jacob A. Buchman; Matthew D. Collins

doi:10.1117/12.3016072

7 June 2024 Emerging explosive threat analysis for using threat anomaly detection (ThreAD)

Eric R. Languirand, Amee L. Polk, Michael F. Kauzlarich, Jacob A. Buchman, Matthew D. Collins

Proceedings Volume 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV; 1305612 (2024) https://doi.org/10.1117/12.3016072
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Rapid analysis of clandestine laboratories is necessary to maintain a protective posture while gaining an understanding of surroundings. We have shown that there is a potential of using a threat anomaly detection (ThreAD) algorithm that allows for rapid, real-time hyperspectral analysis. Understanding if there are primary reagents or products of explosive materials is of concern to recognize what the potential threat in a clandestine laboratory may be. Herein, we discuss the use of a commercial hyperspectral system that is used to collect data that is analyzed using our ThreAD algorithm for existing and emerging explosive threats. In this work, we look at pure spectra of the principle synthetic components of potential explosive threats and the resulting explosive that is made in a method that is consistent with what may be done in a clandestine laboratory. The spectra are parameterized consistent with what is used in the ThreAD algorithm and is clustered in three-dimensional space. The separation of the principle synthetic components and resulting explosives are compared and related to other explosive threats and potential surfaces that the material may reside on. This provides us with the basis of understanding what threats may be detected as anomalies with our ThreAD algorithm and how they compare to others.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Eric R. Languirand, Amee L. Polk, Michael F. Kauzlarich, Jacob A. Buchman, and Matthew D. Collins "Emerging explosive threat analysis for using threat anomaly detection (ThreAD)", Proc. SPIE 13056, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXV, 1305612 (7 June 2024); https://doi.org/10.1117/12.3016072

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