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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
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|Early online date||16 Jul 2018|
|Publication status||E-pub ahead of print - 16 Jul 2018|
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14/12/15 → 31/01/20