Recognition of occluded targets in SAR images based on matching of attributed scattering centers

Abstract

ABSTRACT A local optimal matching scheme of attributed scattering centres (ASC) is proposed for occluded target recognition in synthetic aperture radar (SAR) images. Considering the number of matching pairs and differences between different matching pairs, the local optimal matching is established between the ASC sets from the test and template samples. Accordingly, the properties of occluded targets are used to define a robust similarity measure. The similarities between the test sample and different template samples are calculated to determine the target label. Experiments are conducted on the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset. The proposed method could achieve an average recognition rate of 99.18% for 10 classes of targets under the standard operating condition (SOC). Its performance under random occlusion and directional occlusion is also superior over the reference methods.