Classification and rejection of MSTAR data

Abstract

Classification and rejection tests were performed on the 10-class MSTAR database. To compare our performance, we first summarize relevant prior work. Shift-invariant magnitude Fourier transform (FT) features were used in the feature space trajectory (FST) classifier to classify the 10-class MSTAR data with variants and to reject confuser images and clutter chips. No prior work has addressed this. Implication of various SAR preprocessing on performance is addressed. In confuser rejection, 2 standard confusers (used in prior work) and 2 new confusers are addressed. We are the first to extend confuser rejection tests to 8 target classification with variants and 2 confuser rejection. Finally, clutter rejection while classifying the 10 targets is addressed.