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A principal component analysis based method for the Simulation of turbulence-degraded infrared image sequence

UNE MÉthode basÉe sur l’analyse en composantes principales pour la simulation de séquences d’images infrarouges dÉgradÉes par la turbulence

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Abstract

We present an original method for the simulation of images degraded by atmospheric turbulence. The existing methods allow us to simulate only images that are temporally decorrelated from each other, in the isoplanatic case, or in weak anisoplanatism. Here, we propose a simulation for the case of strong anisoplanatism. Moreover, the temporal aspect has been studied in order to build up a sequence of degraded images, using principal component analysis (PCA). The images obtained clearly show the effects of anisoplanatism and temporal evolution of turbulence.

Résumé

Une méthode originale de simulation d’images dégradées par la turbulence atmosphérique est présentée. Les méthodes existantes ne permettent de simuler que des images temporellement décorrélées les unes des autres, dans le cas de l ’isoplanétisme ou du faible anisoplanétisme. Dans cet article, une simulation pour le cas de fort anisoplanétisme est proposée et une étude sur l’aspect temporel du phénomène dans le but de construire une séquence d’images dégradées, à l’aide de l’analyse en composantes principales est faite. Les images obtenues montrent clairement les effets de lanisoplanétisme et l’évolution temporelle de la turbulence.

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References

  1. Roddier (F.). Progress in optics XIX. Chapt. 5 : The effects of atmospheric turbulence in optical astronomy, E. Wolf, North- Holland Publishing Company, Amsterdam, pp. 281-376, (1981).

  2. McGlamery (B.-L.). Computer simulation studies of compensation of turbulence degraded images,Proc. of SPIE Conf. on Image Processing,74, pp. 225–233, (1976).

    Google Scholar 

  3. Roddier (N.). Atmospheric wavefront simulation using Zernike polynomials. Opt. Eng,29, no 10, pp. 1174–80, (1990).

    Article  Google Scholar 

  4. KOUZNETSOV (N.), VOITSEKHOVICH (V. V.), ORTEGA-MARTINEZ (R.). Simulations of turbulence-induced phase and log-amplitude distorsions,Appl. Opt. 36, no 2, pp. 464–469, (1997). or[5]|Beaumont (H.). Caractérisation de 1a turbulence atmosphérique et procédure d’amélioration des images pour des observations horizontales au-dessus de la mer, PhDthesis, (1996).

    Article  Google Scholar 

  5. Noll (R. J.). Zernike polynomials and atmospheric turbulence,J. Opt. Soc. Am.,66, no 3, pp. 207–211, (1976).

    Article  Google Scholar 

  6. Fried (D. L.). Statistics of a geometric representation of wavefront distorsion,J. Opt. Soc. Am.,55, no 11, pp. 1427–1435, (1965).

    Article  MathSciNet  Google Scholar 

  7. Fried (D. L.). Optical resolution through a randomly intfomoge- neous medium for very long and very short exposures,J. Opt. Soc. Am.,56, no 10, pp. 1372–1379, (1966).

    Article  MathSciNet  Google Scholar 

  8. ConaN (J.-M.), Rousset (G.), Madec (P.-Y.). Wavefront temporal spectra in high resolution imaging through turbulence,J. Opt. Soc. Am.,12, pp. 1559–1570, (1995).

    Article  Google Scholar 

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Correspondence to Christine Bondeau, El-Bay Bourennane or Michel Paindavoine.

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Bondeau, C., Bourennane, EB. & Paindavoine, M. A principal component analysis based method for the Simulation of turbulence-degraded infrared image sequence. Ann. Télécommun. 54, 324–330 (1999). https://doi.org/10.1007/BF02995542

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  • DOI: https://doi.org/10.1007/BF02995542

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