A Target Recognition Method in SAR Images Based on Dynamic Dictionary Learning

A dynamic dictionary learning method was proposed for automatic target recognition in Synthetic Aperture Radar (SAR) images.The new method decreased the size of a dictionary by erasing the useless or high-correlation atoms in the dictionary under a deleting cost.It added an atom by decomposing the residue data matrix under an adding cost.The performance of signal representation of a dictionary could be improved in the dynamic learning procedure.Experiments based on MSTAR database show that the proposed method can converge to a proper-size dictionary no matter how large the original size is.The proposed method was demonstrated to have good and robust performance of SAR target recognition in the trials.