Detection and classification of atmospheric aerosols using multi-wavelength LWIR LIDAR

Russell E. Warren; Richard G. Vanderbeek; Jeffrey L. Ahl

doi:10.1117/12.818694

8 May 2009 Detection and classification of atmospheric aerosols using multi-wavelength LWIR LIDAR

Russell E. Warren, Richard G. Vanderbeek, Jeffrey L. Ahl

Proceedings Volume 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X; 73040E (2009) https://doi.org/10.1117/12.818694
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Russell E. Warren, Richard G. Vanderbeek, and Jeffrey L. Ahl "Detection and classification of atmospheric aerosols using multi-wavelength LWIR LIDAR", Proc. SPIE 7304, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing X, 73040E (8 May 2009); https://doi.org/10.1117/12.818694

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