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Ship identification in sequential ISAR imagery

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Abstract.

We have developed an online system that automatically identifies ships observed in a rapidly updating sequence of range-Doppler images produced by inverse synthetic aperture radar (ISAR). In the system, in order to cope with the invariable noise due to the physics of imaging, we propose to employ a multiframe image processing algorithm that stably extracts profiling as a basic feature reflecting all characteristics of a target. For ship identification, representing the extracted profiles as high-dimensional vectors, we adapt the vector analysis using the recently proposed constrained mutual subspace method (CMSM). The system currently works on an ordinary PC at 5 frames/s and achieves feasible performance of identification. The system is verified using simulated data.

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Authors and Affiliations

  1. Multimedia Laboratory, Corporate Research and Development Center, TOSHIBA Corporation, 1, Komukai Toshiba-cho, Saiwai-ku, 212-8582, Kawasaki, Japan

    Atsuto Maki & Kazuhiro Fukui

Authors
  1. Atsuto Maki
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  2. Kazuhiro Fukui
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Corresponding author

Correspondence to Atsuto Maki.

Additional information

Received: 22 September 2002, Accepted: 22 March 2004, Published online: 27 May 2004

Correspondence to: Atsuto Maki. Currently with the Graduate School of Informatics, Kyoto University

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Maki, A., Fukui, K. Ship identification in sequential ISAR imagery. Machine Vision and Applications 15, 149–155 (2004). https://doi.org/10.1007/s00138-004-0140-y

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