
Proceedings Paper
Detection and classification of atmospheric aerosols using multi-wavelength LWIR LIDARFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents an overview of recent work by the Edgewood Chemical Biological Center
(ECBC) in algorithm development for parameter estimation, detection, and classification of
localized aerosols in the atmosphere using information provided by multiple-wavelength range-resolved
lidar. The motivation for this work is the need to detect, locate, and identify potentially
toxic atmospheric aerosols at safe standoff ranges using time-series data collected at a discrete
set of CO2 laser wavelengths. The paper describes examples this processing derived from an
extensive set of data collected by ECBC during JBSDS field-testing at Dugway Proving Ground.
Paper Details
Date Published: 8 May 2009
PDF: 7 pages
Proc. SPIE 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X, 73040E (8 May 2009); doi: 10.1117/12.818694
Published in SPIE Proceedings Vol. 7304:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X
Augustus W. Fountain III; Patrick J. Gardner, Editor(s)
PDF: 7 pages
Proc. SPIE 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X, 73040E (8 May 2009); doi: 10.1117/12.818694
Show Author Affiliations
Russell E. Warren, EO-Stat, Inc. (United States)
Richard G. Vanderbeek, U.S. Army Edgewood Chemical Biological Ctr. (United States)
Richard G. Vanderbeek, U.S. Army Edgewood Chemical Biological Ctr. (United States)
Jeffrey L. Ahl, JLA Technology Corp. (United States)
Published in SPIE Proceedings Vol. 7304:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X
Augustus W. Fountain III; Patrick J. Gardner, Editor(s)
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