The traditional approach of ship detection is to apply CFAR technique to the statistical property of the sea clutter, one of
the main problems is that lots of false alarms will be detected when the TCR(Target-to-Clutter Ratio) is not high enough.
The objective of this paper is to apply the split-look analysis technique to the ship detection, and the polarization filter
techniques are used on split-look images to generate fused images which have higher TCR and less speckle. By deducing
the distribution models of the sea clutter in fused images, CFAR detection can be utilized to distinguish the ship targets.
The technique is tested in one ERS-2 and three ALOS-PALSAR images, the previous analyses of the detection of ships
are demonstrated. The ship targets in the experimental SAR data can be identified by the naked eye, and the effect of the
technique wasn't fully represented, thus further experiments should be carried out for extreme situations-nearly invisible
ship targets embedded in the sea clutter.
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