We propose an effective small-target detection approach based on weighted image entropy. The approach weights the local entropy measure by the multiscale grayscale difference followed by an adaptive threshold operation, which aims to improve the signal-to-noise ratio for cases in which jamming objects in the scene have similar thermal intensity measure with respect to the background as small target. The detection capability of the proposed approach has been validated on six real sequences, and the results demonstrate its significance and improvement.


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    Titel :

    Infrared small-target detection using multiscale gray difference weighted image entropy


    Beteiligte:
    He Deng (Autor:in) / Xianping Sun (Autor:in) / Maili Liu (Autor:in) / Chaohui Ye (Autor:in) / Xin Zhou (Autor:in)


    Erscheinungsdatum :

    01.02.2016


    Format / Umfang :

    1893237 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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