Enhancing radar cross-section images of artificial targets using radar polarimetry

Thomas Dallmann; Dirk Heberling

doi:10.1117/12.2184484

21 May 2015 Enhancing radar cross-section images of artificial targets using radar polarimetry

Thomas Dallmann, Dirk Heberling

Author Affiliations +

Proceedings Volume 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI; 94611O (2015) https://doi.org/10.1117/12.2184484
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2184484

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