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Effects of polarization on wide-angle SAR classification performance

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2 Author(s)
Dungan, K.E. ; Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA ; Potter, L.C.

Including polarization to circular synthetic aperture radar imagery increases the diversity of information as compared to non-polarized collections. The additional information improves classification performance in a civilian vehicle identification application. Effects of azimuth extent are also investigated. Radar imagery is represented as sets of attributed scattering centers, and vehicles are identified by a pyramid match hashing based, point pattern classifier. The experiments contrast classification performance in a variety of experiments with and without polarization.

Published in:

Aerospace and Electronics Conference (NAECON), Proceedings of the IEEE 2010 National

Date of Conference:

14-16 July 2010