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Proceedings Paper

Software algorithms for false alarm reduction in LWIR hyperspectral chemical agent detection
Author(s): D. Manolakis; J. Model; M. Rossacci; D. Zhang; E. Ontiveros; M. Pieper; J. Seeley; D. Weitz
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Paper Abstract

The long-wave infrared (LWIR) hyperpectral sensing modality is one that is often used for the problem of detection and identification of chemical warfare agents (CWA) which apply to both military and civilian situations. The inherent nature and complexity of background clutter dictates a need for sophisticated and robust statistical models which are then used in the design of optimum signal processing algorithms that then provide the best exploitation of hyperspectral data to ultimately make decisions on the absence or presence of potentially harmful CWAs. This paper describes the basic elements of an automated signal processing pipeline developed at MIT Lincoln Laboratory. In addition to describing this signal processing architecture in detail, we briefly describe the key signal models that form the foundation of these algorithms as well as some spatial processing techniques used for false alarm mitigation. Finally, we apply this processing pipeline to real data measured by the Telops FIRST hyperspectral (FIRST) sensor to demonstrate its practical utility for the user community.

Paper Details

Date Published: 11 April 2008
PDF: 11 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69661U (11 April 2008); doi: 10.1117/12.775826
Show Author Affiliations
D. Manolakis, MIT Lincoln Lab. (United States)
J. Model, MIT Lincoln Lab. (United States)
M. Rossacci, MIT Lincoln Lab. (United States)
D. Zhang, MIT Lincoln Lab. (United States)
E. Ontiveros, MIT Lincoln Lab. (United States)
M. Pieper, MIT Lincoln Lab. (United States)
J. Seeley, MIT Lincoln Lab. (United States)
D. Weitz, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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