LOG-POLAR AND POLAR IMAGE FOR RECOGNITION TARGETS

Abstract

ABSTRACT We describe in this abstract, data processing algorithms applied on radar image in order to extract feature descriptors and then to perform recognition task. Several kinds of descriptors can be used to acquire information about target characteristics from radar images such as ISAR (Inverse Synthetic Aperture Radar) images. We present in this abstract two types of vector descriptors extracted from two minds of transformed images so-called polar and log-polar images obtained respectively via the polar and log-polar mapping. In order to guarantee the invariance of some geometrical transformation, additional processing are proposed. In this paper, we present our approach to extract feature vectors obtained on the both transformed images. In the classification step, the Support Vector machine will be used in the field of radar experimentation

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