8 / 2019-01-11 21:02:45
Training Data Selection Strategy for CFAR Ship Detection in Range-Compressed Radar Data
Radar clutter,oceanography,radar detection,synthetic aperture radar (SAR)
全文待审
Sushil Kumar Joshi / German Aerospace Center(DLR)
Baumgartner Stefan / German Aerospace Center(DLR)
An automatic constant false alarm rate (CFAR) ship detection method using single-channel range-compressed airborne radar data is proposed in this paper. Potential targets and high clutter peaks are first pre-detected and cancelled to obtain clean training data for fitting clutter distribution models and computing CFAR detection thresholds. The suitability and applicability of the clutter model is determined by comparing the set false alarm rate with the estimated false alarm rate from the data.
重要日期
  • 会议日期

    09月30日

    2019

    10月04日

    2019

  • 01月15日 2019

    初稿截稿日期

  • 03月15日 2019

    初稿录用通知日期

  • 04月30日 2019

    终稿截稿日期

  • 10月04日 2019

    注册截止日期

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IEEE
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Societe des Electriciens et des Electroniciens - SEE France
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