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 moving and stationary target acquisition and recognition dataset.
Pseudo-Zernike Moments Based Sparse Representations for SAR Image Classification
IEEE Transactions on Aerospace and Electronic Systems ; 55 , 2 ; 1037-1044
2019-04-01
1256318 byte
Article (Journal)
Electronic Resource
English
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