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Parallel computations for solving problems of the reconstruction of the reflection coefficient of the Earth’s surface by satellite data


The question of the application of parallel computations for solving the problem of atmospheric correction of satellite images is considered. It is shown that parallelization of algorithms of the Monte Carlo method with respect to packets of trajectories makes it possible to significantly reduce the computation time.

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  1. K. T. Protasov, L. A. Busygin, and V. V. Belov, “The Method of Transform Histograms of Brightness; as well as Wavelet-Correction of Satellite Image Atmospheric Distortions,” Opt. Atmosf. Okeana 23(2), 136–142 (2010).

    Google Scholar 

  2. E. F. Vermote and A. Vermeulen.

  3. S. V. Afonin, V. V. Belov, and D. V. Solomatov, “Solution of Problems of the Temperature Monitoring of the Earth’s Surface from Space on the Basis of the RTM Method,” Atmos. Ocean. Opt. 21(12), 921–927 (2008).

    Google Scholar 

  4. P. N. Reinersman and K. L. Carder, “Monte Carlo Simulation of the Atmospheric Point-Spread Function with an Application to Correction for the Adjacency Effect,” Appl. Opt. 34(21), 4453–4471 (1995).

    ADS  Article  Google Scholar 

  5. G. I. Marchuk, G. A. Mikhailov, M. A. Nazaraliev, R. A. Darbinyan, B. A. Kargin, and B. S. Elepov, Monte Carlo Method in Atmospheric Optics (Nauka, Novosibirsk, 1976) [in Russian].

    Google Scholar 

  6. V. E. Zuev, V. V. Belov, and V. V. Veretennikov, Theory of Systems in the Optics of Disperse Media (Spektr, Tomsk, 1997) [in Russian].

    Google Scholar 

  7. Q. Fang and D. A. Boas, “Monte Carlo Simulation of Photon Migration in 3D Turbid Media Accelerated by Graphics Processing Units,” Opt. Express 17(22), 20178–20190 (2009).

    ADS  Article  Google Scholar 

  8. F. X. Kneizys, E. P. Shettle, G. P. Anderson, L. W. Abreu, J.H. Chetwynd, J. E. A. Selby, S. A. Clough, and W. O. Gallery, User Guide to LOWTRAN-7. ARGL-TR-86-0177. ERP 1010 (Hansom AFB, 1988).

    Google Scholar 

  9. V. V. Belov, M. V. Tarasenkov, and K. P. Piskunov, “Parametrical Model of Solar Haze Intensity in the Visible and UV Ranges of the Spectrum,” Opt. Atmosf. Okeana 23(4), 294–297 (2010).

    Google Scholar 

  10. V. V. Belov and M. V. Tarasenkov, “Statistical Modeling of the Intensity of Light Fluxes Reflected by the Earth’s Spherical Surface,” Atmos. Ocean. Opt. 23(3), 197–203 (2010).

    Article  Google Scholar 


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Correspondence to M. V. Tarasenkov.

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Original Russian Text © A.V. Kozhevnikova, M.V. Tarasenkov, V.V. Belov, 2013, published in Optica Atmosfery i Okeana.

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Kozhevnikova, A.V., Tarasenkov, M.V. & Belov, V.V. Parallel computations for solving problems of the reconstruction of the reflection coefficient of the Earth’s surface by satellite data. Atmos Ocean Opt 26, 326–328 (2013).

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  • Reflection Coefficient
  • Graphic Processing Unit
  • Parallel Computing
  • Aerosol Optical Depth
  • Optical Model