A novel autofocusing technique is developed for random translational motion compensation in inverse synthetic aperture radar (ISAR) imaging of objects. This technique is based on an entropy minimization principle and validated via a nonparametric estimation method. Images of a simulation and a real flying aircraft are used for illustration. Images of encouraging quality confirm the feasibility of autofocusing the radar images by just the requirement of minimizing the image entropy.


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    Title :

    Autofocusing of ISAR images based on entropy minimization


    Contributors:
    Li Xi, (author) / Liu Guosui, (author) / Jinlin Ni, (author)


    Publication date :

    1999-10-01


    Size :

    1023895 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Autofocusing of ISAR images based on entropy minimization

    Li Xi / Liu, Guosui / Ni, Jinlin | Tema Archive | 1999




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