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Proceedings Paper

Real-time short-wave infrared hyperspectral conformal imaging sensor for the detection of threat materials
Author(s): Matthew P. Nelson; Lei Shi; Lucas Zbur; Ryan J. Priore; Patrick J. Treado
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Paper Abstract

Hyperspectral imaging (HSI) systems can provide sensitive and specific detection and identification of high value targets in the presence of complex backgrounds. However, current generation sensors are typically large and costly to field, and do not usually operate in real-time. Sensors that are capable of real-time operation have to compromise on the number of spectral bands, image definition, and/or the number of targets being detected. Additionally, these systems command a high cost and are typically designed and configured for specific mission profiles, making them unable to adapt to multiple threats within often rapidly evolving and dynamic missions. Despite these shortcomings, HSI-based sensors have proven to be valuable tools, thus resulting in increased demand for HSI technology. A cost-effective sensor system that can easily and quickly adapt to accomplish significantly different tasks in a changing environment is highly desirable. The capability to detect and identify user-defined targets in complex backgrounds under a range of varying conditions with an easily reconfigured, automated, real-time, portable HSI sensor is a critical need. ChemImage Sensor Systems (CISSTM) is developing a novel real-time, adaptable, compressive sensing short-wave infrared (SWIR) hyperspectral imaging technology called the Reconfigurable Conformal Imaging Sensor (RCIS). RCIS will address many shortcomings of current generation systems and offer improvements in operational agility and detection performance, while addressing sensor weight, form factor and cost needs. This paper discusses the development of the RCIS system, and considers its application in various use scenarios.

Paper Details

Date Published: 12 May 2016
PDF: 9 pages
Proc. SPIE 9824, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII, 982416 (12 May 2016); doi: 10.1117/12.2223816
Show Author Affiliations
Matthew P. Nelson, ChemImage Corp. (United States)
Lei Shi, ChemImage Corp. (United States)
Lucas Zbur, ChemImage Corp. (United States)
Ryan J. Priore, CIRTEMO, LLC (United States)
Patrick J. Treado, ChemImage Corp. (United States)

Published in SPIE Proceedings Vol. 9824:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII
Augustus Way Fountain III, Editor(s)

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