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- W1977145764 abstract "The traditional approach of ship detection is to apply CFAR technique to the statistical property of the sea clutter, one ofthe 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 filtertechniques are used on split-look images to generate fused images which have higher TCR and less speckle. By deducingthe 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 shipsare demonstrated. The ship targets in the experimental SAR data can be identified by the naked eye, and the effect of thetechnique wasn't fully represented, thus further experiments should be carried out for extreme situations-nearly invisibleship targets embedded in the sea clutter." @default.
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- W1977145764 date "2009-10-30" @default.
- W1977145764 modified "2023-09-23" @default.
- W1977145764 title "A novel algorithm for ship detection based on fusion of split-look SAR images" @default.
- W1977145764 doi "https://doi.org/10.1117/12.833474" @default.
- W1977145764 hasPublicationYear "2009" @default.
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