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Proceedings / Volume 6554 / Biological Detection II

Detection and classification of atmospheric aerosols using multi-wavelength CO2 lidar

Proc. SPIE 6554, 65540V (2007); http://dx.doi.org/10.1117/12.722414

Wednesday 11 April 2007
Orlando, FL, USA
Chemical and Biological Sensing VIII
Augustus W. Fountain III
  • Abstract
Russell E. Warren

EO-Stat, Inc.

Richard G. Vanderbeek

U.S. Army Edgewood Chemical Biological Ctr.

This paper presents an overview of recent work by ECBC in algorithm development for parameter estimation, detection, and classification of localized aerosols in the atmosphere using information provided by multiple-wavelength rangeresolved 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 goals of the processing are to use the digitized transmitted and received backscatter array data to (1) decide if significant aerosol is present, (2) provide estimates of the range and size of the aerosol cloud, (3) produce estimates of the backscatter spectral dependence, and (4) use the backscatter signatures as feature vectors for training and implementation of a support vector machine aerosol classifier. The paper describes examples this processing derived from an extensive set of data collected by ECBC during JBSDS field-testing at Dugway Proving Ground.

© 2007 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

History
Online Apr 26, 2007
Digital Object Identifier
http://dx.doi.org/10.1117/12.722414
Citation
Russell E. Warren and Richard G. Vanderbeek, "Detection and classification of atmospheric aerosols using multi-wavelength CO2 lidar", Proc. SPIE 6554, 65540V (2007); http://dx.doi.org/10.1117/12.722414

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