The author derives an estimate-maximise (EM) formulation of a Bayesian super-resolution algorithm for reconstructing scattering cross sections from coherent images. He generalises this result to obtain an autofocus/super-resolution method, which simultaneously autofocusses an imaging system and super-resolves its image data. Autofocus/super-resolution might be applied to the interpretation of airborne synthetic aperture radar images that are subject to defocussing effects.


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    Title :

    Bayesian autofocus/super-resolution theory


    Additional title:

    Bayes Autofokus/Superauflösungstheorie


    Contributors:


    Publication date :

    1990


    Size :

    , 11 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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