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21 May 2015 Enhancing radar cross-section images of artificial targets using radar polarimetry
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Nowadays polarimetric decompositions are common processing techniques for synthetic aperture radar images. However, some of the decomposition methods can also be applied to imagery obtained in radar cross-section measurement ranges. Since commonly artificial targets are measured in these ranges, coherent decompositions are of special interest for the analysis of these images. In this paper, a Kennaugh matrix decomposition is used to remove non-polarized clutter from fully polarized targets. Therefore two averaging techniques required for the decomposition will be compared. Also a variation of this decomposition which is related to a well-known image processing filter will be introduced. Finally it will be demonstrated that both methods can enhance the contrast of radar cross-section images.
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Thomas Dallmann and Dirk Heberling "Enhancing radar cross-section images of artificial targets using radar polarimetry", Proc. SPIE 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI, 94611O (21 May 2015);

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