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Proceedings Paper

Application of the neural network approach for retrieving of gas concentration from CO2 - laser data
Author(s): Mikhail Yu. Kataev; A. Ya. Sykhanov
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Paper Abstract

In the report a method of atmospheric gases concentration retrieving from the C02-laser gas analyser data on the basis of neural networks (NN) is description. The method of neural networks is compared to the known method of the least squares most frequently meeting at processing of laser signals. One of the problems arising at processing of the lidar signals is stability of the solving (gas concentration) depending on random mistakes of measurement. A method of the neural network as have shown results of numerical modeling, it is possible to relate to a stable method of retrieving of gases concentration from C02-laser data.

Paper Details

Date Published: 21 April 2006
PDF: 5 pages
Proc. SPIE 6160, Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 61600E (21 April 2006); doi: 10.1117/12.675222
Show Author Affiliations
Mikhail Yu. Kataev, Institute of Atmospheric Optics (Russia)
Tomsk State Univ. of Control Systems and Radioelectronics (Russia)
A. Ya. Sykhanov, Tomsk State Univ. of Control Systems and Radioelectronics (Russia)


Published in SPIE Proceedings Vol. 6160:
Twelfth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics
Gelii A. Zherebtsov; Gennadii G. Matvienko, Editor(s)

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