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.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Autofocusing of ISAR images based on entropy minimization


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


    Publication date :

    1999


    Size :

    13 Seiten, 13 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Autofocusing of ISAR images based on entropy minimization

    Li Xi / Liu Guosui / Jinlin Ni | IEEE | 1999




    ISAR autofocusing image reconstruction of sea target

    Lazarov, A. D. / Kostadinov, T. P. | IEEE | 2011


    Efficient ISAR autofocus via minimization of Tsallis Entropy

    Min-Seok Kang / Ji-Hoon Bae / Seong-Hyeon Lee et al. | IEEE | 2016