Abstract
Under conditions of translation, rotation, pose alteration, jamming and shelter of targets, undesired Inverse Synthetic Aperture Radar (ISAR) images will make target classification more difficult. In this paper, an available ISAR target recognition method based on the affine invariance of strong scattering centers in an ISAR image is presented. The approach carries out interference suppression on ISAR images at first, then extracts strong scattering centers and constructs affine-invariance features, finally uses geometric hash as the final classifier. Experimental results show the presented algorithm is quite effective and performs excellently in local recognition.
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