[1] Dong Lei, Lu Zhenwu, Liu Xinyue. Analysis and comparison of limit detection capabilities of three active synthetic aperture imaging techniques[J]. Chinese Optics, 12, 138-147(2019).

[2] Xie Qin, Zhang Hong. Multi-level SAR image enhancement based on regularization with application to target recognition[J]. Journal of Electronic Measurement and Instrumentation, 32, 157-162(2018).

[3] Dong G G, Kuang G Y. Classification on the Monogenic scale space: application to target recognition in SAR image[J]. IEEE Transactions on Image Processing, 24, 2527-2539(2015).

[4] Ding Baiyuan, Wen Gongjian, Yu Liasheng, et al. Matching of attributed scattering center and its application to synthetic aperture radar Automatic Target Recognition[J]. Journal of Radar, 6, 157-166(2017).

[5] Liu Changqing, Chen Bo, Pan Zhouhao, et al. Research on target recognition technique via simulation SAR and SVM classifier[J]. Journal of CAEIT, 11, 257-262(2016).

[6] Li Yajuan. Target recognition of SAR images based on combination of global and local sparse representations[J]. Journal of Electronic Measurement and Instrumentation, 34, 165-171(2020).

[7] Lu Ruitao, Ren Shijie, Shen Lurong, et al. Robust template patches-based object tracking with sparse representation[J]. Infrared and Laser Engineering, 48, 0326003(2019).

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

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

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

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

[12] Ye Song, Li Yuanzhuang, Sun Yongfeng, et al. Extraction of spatial heterodyne spectroscopy target based on empirical mode decomposition and regression analysis[J]. Infrared and Laser Engineering, 47, 1223001(2018).

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

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

[15] Zhang Jing, Chen Hongtao, Liu Fang. Remote sensing image fusion based on multivariate empirical mode decomposition and weighted least squares filter[J]. Acta Photonica Sinica, 48, 051003(2019).

[16] Wu Zhe, Yang Shaopu, Ren Bin, et al. Rolling element bearing fault diagnosis method based on NAMEMD and multi-scale morphology[J]. Journal of Vibration and Shock, 35, 127-133(2016).