The capabilities of the maximum likelihood estimator (MLE) and the maximum entropy method (MEM) in resolving closely spaced optical point targets are compared using Monte Carlo simulation results for two different examples. It is found that the MEM is very sensitive to the noise and that the MLE performs better than the MEM in both examples.


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    Title :

    Resolution of Closely Spaced Optical Targets Using MLE and MEM


    Contributors:
    Tsai, M.j. (author)

    Published in:

    Publication date :

    1982-03-01


    Size :

    1256265 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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