We consider the data-driven motion compensation problem in inverse synthetic aperture radar (ISAR) imaging. We present optimization-based ISAR techniques and propose improvements to the range alignment, time-window selection, autofocus, time-frequency-based image reconstruction, and cross-range scaling procedures. In experiments, the improvements reduced the computational burden and increased the image contrast by 50% at best and 28% on average in several test cases, including changing translational and rotational motion.


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    Title :

    Data-Driven Motion Compensation Techniques for Noncooperative ISAR Imaging


    Contributors:
    Vehmas, Risto (author) / Jylha, Juha (author) / Vaila, Minna (author) / Vihonen, Juho (author) / Visa, Ari (author)


    Publication date :

    2018-02-01


    Size :

    938611 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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