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

Richard G. Vanderbeek; Russell E. Warren; Francis M. D'Amico

doi:10.1117/12.394053

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28 July 2000 Application of estimation theory to range-resolved and topographic frequency-agile lidar data

Richard G. Vanderbeek, Russell E. Warren, Francis M. D'Amico

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Proceedings Volume 4036, Chemical and Biological Sensing; (2000) https://doi.org/10.1117/12.394053
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

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Richard G. Vanderbeek, Russell E. Warren, and Francis M. D'Amico "Application of estimation theory to range-resolved and topographic frequency-agile lidar data", Proc. SPIE 4036, Chemical and Biological Sensing, (28 July 2000); https://doi.org/10.1117/12.394053

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