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Proceedings Paper

Hyperspectral requirements for detection of trace explosives agents
Author(s): Harvey C. Schau; Bryan D. Jennette
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Paper Abstract

The ability to remotely detect explosive devices and explosive materials has generated considerable interest over the last several years. The study of remote sensing of explosives date back many decades but recent world events have forced the technology to respond to changing events and bring new technologies to the field in shorter development times than previously thought possible. Several applications have proven both desirable and illusive to date. Most notable is the desire to sense explosives within containers, sealed or otherwise. This requires a sensing device to penetrate the walls of the container, a difficult task when the container is steel or thick cement. Another is the desire to detect explosive vapors which escape from a container into the ambient air. This has been made difficult because explosives are generally formulated to have extremely low vapor pressure. (This has made many gas detection technique not strong candidates for explosive vapor detection due to the low vapor pressure of explosive materials [1].) Because of the many difficulties in a general explosive remote detection, we have attempted to bound the problem into a series of achievable steps with the first step a simple remote detection of TNT-bearing compounds. Prior to discussing our technology, we will first discuss our choice for attacking the problem in this manner.

Paper Details

Date Published: 4 May 2006
PDF: 11 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62331Y (4 May 2006); doi: 10.1117/12.665139
Show Author Affiliations
Harvey C. Schau, Raytheon Missile Systems (United States)
Bryan D. Jennette, Raytheon Missile Systems (United States)


Published in SPIE Proceedings Vol. 6233:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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