Electronics Optics & Control, Volume. 30, Issue 6, 41(2023)

Combination of Variational Mode Decomposition with Convolutional Neural Network for SAR Image Target Classification

WANG Yuanyuan
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    References(11)

    [1] [1] EL-DARYMLI K,GILL E W,MCGUIRE P,et al.Automatic target recognition in synthetic aperture radar imagery:a state-of-the-art review[J].IEEE Access,2016,4:6014-6058.

    [8] [8] ANAGNOSTOPOULOS G C.SVM-based target recognition from synthetic aperture radar images using target region outline descriptors[J].Nonlinear Analysis,2009,71(2):2934-2939.

    [16] [16] DONG G G,KUANG G Y,WANG N,et al.SAR target recognition via joint sparse representation of monogenic signal[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(7):3316-3328.

    [17] [17] LIU H C,LI S T.Decision fusion of sparse representation and support vector machine for SAR image target recognition [J].Neurocomputing,2013,113:97-104.

    [18] [18] THIAGARAJAN J J,RAMAMURTHY K N,KNEE P,et al.Sparse representations for automatic target classification in SAR images[C]//The 4th International Symposium on Communications,Control and Signal Processing.Limassol:IEEE,2010:1-4.

    [23] [23] DRAGOMIRETSKIY K,ZOSSO D.Variational mode decomposition[J].IEEE Transactions on Signal Processing,2014,62(3):531-544.

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    WANG Yuanyuan. Combination of Variational Mode Decomposition with Convolutional Neural Network for SAR Image Target Classification[J]. Electronics Optics & Control, 2023, 30(6): 41

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    Paper Information

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    Received: May. 8, 2022

    Accepted: --

    Published Online: Nov. 29, 2023

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2023.06.007

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