• Infrared and Laser Engineering
  • Vol. 50, Issue 5, 20200309 (2021)
Zhichao Liu1、2 and Baida Qu1、*
Author Affiliations
  • 1School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
  • 2School of Internet of Things Engineering, Wuxi Taihu University, Wuxi 214064, China
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    DOI: 10.3788/IRLA20200309 Cite this Article
    Zhichao Liu, Baida Qu. Application of complex bidimensional empirical mode decomposition in SAR target recognition[J]. Infrared and Laser Engineering, 2021, 50(5): 20200309 Copy Citation Text show less
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    [8] H C Liu, S T Li. Decision fusion of sparse representation and support vector machine for SAR image target recognition. Neurocomputing, 113, 97-104(2013).

    [9] Thiagaraianm J, Ramamurthy K, Knee P P, et al. Sparse representations f automatic target classification in SAR images[C]4th Communications, Control Signal Processing, 2010: 1–4.

    [10] S Z Chen, H P Wang, F Xu, et al. Target classification using the deep convolutional networks for SAR images. IEEE Transactions on Geoscience and Remote Sensing, 54, 4806-4817(2016).

    [11] Panpan Zhang, Haibo Luo, Morang Ju, et al. An improved capsule and its application in target recognition of SAR images. Infrared and Laser Engineering, 49, 20201010(2020).

    [12] Ying Xu, Yu Gu, Dongliang Peng, et al. SAR ATR based on disentangled representation learning generative adversarial networks and support vector machine. Optics and Precision Engineering, 28, 727-735(2020).

    [13] M H Yeh. The complex bidimensional empirical mode decomposition. Signal Processing, 92, 523-541(2012).

    [14] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition the Hilbert spectrum f nonlinear nonstationary time series analysis[C]Proceeding of the Royal Society of London, 1998: 987–995.

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    [16] Zhencheng Chen, Xianliang Wu, Feijun Zhao. Denoising and implementation of photoplethysmography signal based on EEMD and wavelet threshold. Optics and Precision Engineering, 27, 1327-1334(2019).

    [17] M Chang, X You, Z Cao. Bidimensional empirical mode decomposition for SAR image feature extraction with application to target recognition. IEEE Access, 7, 135720-135731(2019).

    [18] Cuimei Tan, Tingfa Xu, Xu Ma, et al. Graph-spectral hyperspectral video restoration based on compressive sensing. Chinese Optics, 11, 949-957(2018).

    CLP Journals

    [1] Jianhua Lu. Decision fusion of CNN and SRC with application to SAR target recognition[J]. Infrared and Laser Engineering, 2022, 51(3): 20210421

    Zhichao Liu, Baida Qu. Application of complex bidimensional empirical mode decomposition in SAR target recognition[J]. Infrared and Laser Engineering, 2021, 50(5): 20200309
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