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.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Pseudo-Zernike Moments Based Sparse Representations for SAR Image Classification


    Beteiligte:


    Erscheinungsdatum :

    01.04.2019


    Format / Umfang :

    1256318 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Neural Network Image Recognition by Zernike and Pseudo-Zernike Moments

    Sosulin, Y. G. / Dung, T. C. | British Library Online Contents | 2003


    Efficient computation of Zernike and Pseudo-Zernike moments for pattern classification applications

    Papakostas, G. A. / Boutalis, Y. S. / Karras, D. A. et al. | British Library Online Contents | 2010


    On the accuracy of image normalization by Zernike moments

    Yang, Z. / Fang, T. | British Library Online Contents | 2010


    On the computational aspects of Zernike moments

    Wee, C. Y. / Paramesran, R. | British Library Online Contents | 2007


    2D color shape recognition using Zernike moments

    Maaoui, C. / Laurent, H. / Rosenberger, C. | IEEE | 2005