This paper deals with automatic identification of ships in images produced by inverse synthetic aperture radar (ISAR). The ISAR technique reconstructs a rapidly updating sequence of range-Doppler image frames of the target. Due to the physics of imaging based on the target's angular motions, however, images are invariably noisy, and not all frames contain equally useful information. The thrust of this research is to cope with these issues by introducing: (i) a multiframe algorithm to stably extract profiling as a basic feature reflecting the entire characteristics of a target; and (ii) subspace analysis for identification of the extracted profiling especially using the recently proposed constrained mutual subspace method (CMSM). Through preliminary experiments we demonstrate the effective performance of the proposed scheme.


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    Titel :

    ISAR image analysis by subspace method: automatic extraction and identification of ship profile


    Beteiligte:
    Maki, A. (Autor:in) / Fukui, K. (Autor:in) / Onoguchi, K. (Autor:in) / Maeda, K. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    594310 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ISAR Image Analysis by Subspace Method: Automatic Extraction and Identification of Ship Profile

    Maki, A. / Fukui, K. / Onoguchi, K. et al. | British Library Conference Proceedings | 2001


    Automatic recognition of ISAR ship images

    Musman, S. / Kerr, D. / Bachmann, C. | IEEE | 1996


    Automatic recognition of ISAR ship images

    Musman, S. / Kerr, D. / Bachmann, C. | Tema Archiv | 1996


    Ship identification in sequential ISAR imagery

    Maki, A. / Fukui, K. | British Library Online Contents | 2004


    Automatic Recognition of ISAR Ship Images

    Musman, S. | Online Contents | 1996