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Proceedings Paper

Application of estimation theory to range-resolved and topographic frequency-agile lidar data
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Paper Abstract

This paper presents a maximum likelihood based algorithm capable of estimating the concentration of one or more aerosol clouds as a function of range. The traditional Differential Scattering technique does not optimally utilize all the information available with tunable LIDAR sensors. For this reason, the authors have investigated alternative approaches that may better handle the general multi-material multi-wavelength scenario. This algorithm was tested using data that was generated to simulate the response of the Army's FAL sensor. The algorithm is shown to be able discriminate between three materials.

Paper Details

Date Published: 28 July 2000
PDF: 9 pages
Proc. SPIE 4036, Chemical and Biological Sensing, (28 July 2000); doi: 10.1117/12.394053
Show Author Affiliations
Richard G. Vanderbeek, U.S. Army Soldier and Biological Chemical Command (United States)
Russell E. Warren, SRI International (United States)
Francis M. D'Amico, U.S. Army Soldier and Biological Chemical Command (United States)

Published in SPIE Proceedings Vol. 4036:
Chemical and Biological Sensing
Patrick J. Gardner, Editor(s)

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