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Article Dans Une Revue Measurement Science and Technology Année : 2008

An analytical model for backscattered luminance in fog: comparisons with Monte Carlo computations and experimental results

Résumé

We propose an analytical model for backscattered luminance in fog and derive an expression for the visibility signal-to-noise ratio as a function of meteorological visibility distance. The model uses single scattering processes. It is based on the Mie theory and the geometry of the optical device (emitter and receiver). In particular, we present an overlap function and take the phase function of fog into account. The results of the backscattered luminance obtained with our analytical model are compared to simulations made using the Monte Carlo method based on multiple scattering processes. An excellent agreement is found in that the discrepancy between the results is smaller than the Monte Carlo standard uncertainties. If we take no account of the geometry of the optical device, the results of the model-estimated backscattered luminance differ from the simulations by a factor 20. We also conclude that the signal-to-noise ratio computed with the Monte Carlo method and our analytical model is in good agreement with experimental results since the mean difference between the calculations and experimental measurements is smaller than the experimental uncertainty.

Dates et versions

hal-00969263 , version 1 (02-04-2014)

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Frédéric Taillade, Etienne Belin, Erik Dumont. An analytical model for backscattered luminance in fog: comparisons with Monte Carlo computations and experimental results. Measurement Science and Technology, 2008, 19, 7p. ⟨10.1088/0957-0233/19/5/055302⟩. ⟨hal-00969263⟩
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