Abstract
Abstract In this study, we examine our recognition approach using modelled SAR images as a test set. The supposed approach is compared with the technology of training using real data from the MSTAR dataset. We conducted the recognition experiments using three different objects. The SAR images were modelled with approximate parameters, such as those used in SAR constructions of real targets. As a recognition method, one proposed in our previous articles, the support subspaces method, is used. The experiment results show the ability to achieve high recognition quality with construction of the support subspaces (training) using modelled SAR images.
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