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Proceedings Paper

Rayleigh-fit approach applied to improve the removal of background noise from lidar data
Author(s): Ivan Grigorov; Georgi Kolarov
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Paper Abstract

A procedure to approach synthesized profile of lidar returns from hypothetical Rayleigh atmosphere to real lidar data is described in this work. The procedure is used in preprocessing of lidar data to determine the magnitude of background noise which should be removed before starting inversion processing (by Klett, or Fernald algorithm) to retrieve atmospheric backscatter or extinction profiles. Some applications of Rayleigh-fit procedure on real lidar data are discussed. After removing background noise from the lidar data, atmospheric backscatter profiles at two nearby laser wavelengths 510.6 nm and 578.2 nm (CuBr-vapor laser) are calculated. The ratio of these two backscatter profiles is used as justification of the results of Rayleigh-fit procedure for background noise removal.

Paper Details

Date Published: 15 March 2013
PDF: 8 pages
Proc. SPIE 8770, 17th International School on Quantum Electronics: Laser Physics and Applications, 877010 (15 March 2013); doi: 10.1117/12.2012998
Show Author Affiliations
Ivan Grigorov, Institute of Electronics (Bulgaria)
Georgi Kolarov, Institute of Electronics (Bulgaria)


Published in SPIE Proceedings Vol. 8770:
17th International School on Quantum Electronics: Laser Physics and Applications
Tanja N. Dreischuh; Albena T. Daskalova, Editor(s)

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