  We propose radar image classification via pseudo-Zernike moments based sparse
representations. We exploit invariance properties of pseudo-Zernike moments to
augment redundancy in the sparsity representative dictionary by introducing
auxiliary atoms. We employ complex radar signatures. We prove the validity of
our proposed methods on the publicly available MSTAR dataset.
