This correspondence gives a method of selecting n features out of k (n < k) FFT filter outputs which characterize them classes of target signatures to be recognized. The method differs from other known techniques in that it uses a priori information of the target measurements. It is based on an error bound established by Lainiotis which is a weighted sum of Bhattacharyya coefficients.


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    Title :

    Target Spectra Feature Selection Using a Priori Information


    Contributors:

    Published in:

    Publication date :

    1975-07-01


    Size :

    779996 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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