A principal component analysis based method for the Simulation of turbulence-degraded infrared image sequence
نویسندگان
چکیده
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. Mots el~s : Traitement image, Propagation atmosph6rique infrarouge, Turbulence atmosph6rique, Analyse composante principale, S6quence image, Simulation, Variation temporelle. UNE MI~THODE BASI~E SUR L'ANALYSE EN COMPOSANTES PRINCIPALES POUR LA SIMULATION DE SI~QUENCES D'IMAGES INFRAROUGES DI~GRADI~ES PAR LA TURBULENCE
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عنوان ژورنال:
- Annales des Télécommunications
دوره 54 شماره
صفحات -
تاریخ انتشار 1999