In this paper, aiming at the small target detection problem in the infrared image sequence, we propose a small target detection method based on maximum likelihood estimation and NNLoG spot detection operator. Compared with the traditional method, our proposed method can partially solve the nonlinear motion of the small target in image sequence. The real target trajectory is approximated by polynomial to enhance the signal to noise ratio of target. To validate the proposed method, we create eight experiments to simulate. The experiment result shows that our method is very valuable for small target detection.


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    Titel :

    The small target detection based on maximum likelihood estimation and spot detection operator


    Beteiligte:
    Hou, Wang (Autor:in) / Long, Gucan (Autor:in) / Lei, Zhihui (Autor:in) / Dong, Jing (Autor:in)

    Kongress:

    Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013 ; 2013 ; SuZhou,China


    Erschienen in:

    Erscheinungsdatum :

    2014-02-21





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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