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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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
Mots clés
- Traitement image
- Propagation atmosphérique infrarouge
- Turbulence atmosphérique
- Analyse composante principale
- Séquence image
- Simulation
- Variation temporelle