Application of neural networks for determining optical parameters of strongly scattering media from the intensity profile of backscattered radiation
Journal Article
·
· Quantum Electronics (Woodbury, N.Y.)
- Samara Branch of the P.N. Lebedev Physics Institute, Russian Academy of Sciences, Samara (Russian Federation)
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. (special issue devoted to multiple radiation scattering in random media)
- OSTI ID:
- 21466606
- Journal Information:
- Quantum Electronics (Woodbury, N.Y.), Vol. 37, Issue 1; Other Information: DOI: 10.1070/QE2007v037n01ABEH013341; ISSN 1063-7818
- Country of Publication:
- United States
- Language:
- English
Similar Records
Application of the artificial neural network for reconstructing the internal-structure image of a random medium by spatial characteristics of backscattered optical radiation
Numerical simulation of coherent backscattering and temporal intensity correlations in random media
On the estimate of effective optical parameters of close-packed fibrillar media
Journal Article
·
Mon Jun 30 00:00:00 EDT 2008
· Quantum Electronics (Woodbury, N.Y.)
·
OSTI ID:21466606
Numerical simulation of coherent backscattering and temporal intensity correlations in random media
Journal Article
·
Thu Nov 30 00:00:00 EST 2006
· Quantum Electronics (Woodbury, N.Y.)
·
OSTI ID:21466606
On the estimate of effective optical parameters of close-packed fibrillar media
Journal Article
·
Wed Jan 31 00:00:00 EST 2007
· Quantum Electronics (Woodbury, N.Y.)
·
OSTI ID:21466606
+1 more