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Kvantovaya Elektronika, 2007, Volume 37, Number 1, Pages 22–26 (Mi qe13341)  

Special issue devoted to multiple radiation scattering in random media

Application of neural networks for determining optical parameters of strongly scattering media from the intensity profile of backscattered radiation

S. P. Kotova, I. V. Maiorov, A. M. Maiorova

Samara Branch of P. N. Lebedev Physical Institute, Russian Academy of Sciences

Abstract: We analyse the possibilities of simultaneous measuring three optical parameters of scattering media, namely, the scattering and absorption coefficients and the scattering anisotropy parameter by the intensity profile of backscattered radiation by using the neural network inversion method and the method of adaptive-network-based fuzzy inference system. The measurement errors of the absorption and scattering coefficients and the scattering anisotropy parameter are 20%, 5%, and 10%, respectively.

Full text: PDF file (134 kB)

English version:
Quantum Electronics, 2007, 37:1, 22–26

Bibliographic databases:

PACS: 84.35.+i, 42.79.Ta, 42.25.Fx
Received: 20.06.2006
Revised: 10.10.2006

Citation: S. P. Kotova, I. V. Maiorov, A. M. Maiorova, “Application of neural networks for determining optical parameters of strongly scattering media from the intensity profile of backscattered radiation”, Kvantovaya Elektronika, 37:1 (2007), 22–26 [Quantum Electron., 37:1 (2007), 22–26]

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  • http://mi.mathnet.ru/eng/qe/v37/i1/p22

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