Automatic CFAR Ship Detection in Synthetic Aperture Radar Imagery

Hicham Madjidi, Toufik Laroussi

Format
Paperback
Publisher
LAP Lambert Academic Publishing
Published
20 September 2024
Pages
200
ISBN
9786207809516

Automatic CFAR Ship Detection in Synthetic Aperture Radar Imagery

Hicham Madjidi, Toufik Laroussi

In this research, we address the problem of automatic ship detection acquires from SAR (Synthetic Aperture Radar) images in complex marine environments. Assuming a non-Gaussian sea clutter with no prior knowledge about the presence or not of any clutter edge and/or interfering targets in the sliding reference window, we propose and analyze the detection performances of three CFAR (Constant False Alarm Rate) detectors in homogeneous and heterogeneous Log-normal or Weibull sea clutter.

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