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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    Titel :

    Autofocusing of ISAR images based on entropy minimization


    Beteiligte:
    Li Xi (Autor:in) / Liu Guosui (Autor:in) / Jinlin Ni (Autor:in)


    Erscheinungsdatum :

    01.10.1999


    Format / Umfang :

    1023895 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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