Maximum likelihood estimation and decision theory is applied to the problem of detecting unresolved moving targets with a particular emphasis on space surveillance applications. A general formulation is derived which accounts for fluctuating targets, extended optical point spread functions (PSFs), and long frame integration times such that target images can form streaks within a single image. Probability of false alarm and of detection curves are generated from field data and simulations and compared with theoretical predictions.


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    Title :

    Maximum likelihood detection of unresolved moving targets


    Contributors:


    Publication date :

    1998-07-01


    Size :

    1726044 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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