A New Algorithm to Generate the Reference Images of Ship Targets for ATR Using ISAR(Sensing)

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概要

• 論文の詳細を見る

• Inverse synthetic aperture radar (ISAR) is useful for automatic target recognition (ATR) because it can reconstruct a high resolution image of an observed target. In ISAR imaging, 3-dimensional reflectivity distribution of a target is projected to the plane defined by range axis and cross range axis. In order to recognize the observed target by using pattern matching, reference images of candidate targets must be adequately generated. However, that is difficult because the cross range axis, which depends on the target's unknown rotational motion, can not be determined precisely. In this paper, we propose a new algorithm to generate reference ISAR images of ship targets. In this algorithm, tracking data, Doppler width and the slope of the centerline of an ISAR target image are used to specify the cross range axis. The effectiveness of the proposed algorithm was evaluated by using simulated targets.

• 社団法人電子情報通信学会の論文
• 2005-02-01

著者

• Kirimoto Tetsuo

  Faculty Of Environmental Engineering The University Of Kitakyushu

• YAMAMOTO Kazuhiko

  Information Technology R&D Center, Mitsubishi Electric Corporation

• IWAMOTO Masafumi

  Information Technology R&D Center, Mitsubishi Electric Corporation

• Iwamoto Masafumi

  Information Technology R&d Center Mitsubishi Electric Corporation

• Iwamoto Masafumi

  Information Technology R&d Center Mitsubishi Electric Co.

• Yamamoto Kazuhiko

  Information Technology R&d Center Mitsubishi Electric Corporation

関連論文

• A New Algorithm to Generate the Reference Images of Ship Targets for ATR Using ISAR(Sensing)
• Target classification algorithm using netted radars(WSANE2006)
• Bandwidth Extrapolation Technique for Polarimetric Radar Data(Sensing)

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