Infrared and Laser Engineering, Volume. 50, Issue 6, 20200531(2021)
SAR target recognition using feature fusion by 2D compressive sensing with multiple random projection matrices
[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, 4, 6014-6058(2016).
[2] Anagnostopoulos G C. SVM-based target recognition from synthetic aperture radar images using target region outline descriptors[J]. Nonlinear Analysis, 71, 2934-2939(2009).
[3] Xie Qing, 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).
[4] Papson S, Narayanan R M. Classification via the shadow region in SAR imagery[J]. IEEE Transactions on Aerospace and Electronic System, 40, 969-980(2012).
[5] Li Hui. SAR target recognition based on Gaussian mixture modeling of peak features[J]. Journal of Electronic Measurement and Instrumentation, 32, 103-108(2018).
[6] Ding Baiyuan, Wen Gongjian, Yu Liansheng, 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).
[7] Ding B Y, Wen G J, Zhong J R, et al. A robust similarity measure for attributed scattering center sets with application to SAR ATR[J]. Neurocomputing, 219, 130-143(2017).
[8] Zhang Rui, Hong Jun, Ming Feng. Full polarimetry SAR ATR algorithm based on polarimetry similarity[J]. Foreign Electronic Measurement Technology, 29, 24-27(2010).
[9] [9] Mishra A K, Motaung T. Application of linear nonlinear PCA to SAR ATR[C]25th International Conference Radioelektronika, 2015: 16.
[10] Li Wenhong, Wang Jianguo. SAR images target recognition based on bilateral two-dimensional principal component analysis and probabilistic neural network ensemble[J]. Journal of CAEIT, 9, 401-407(2014).
[11] Cui Z Y, Cao Z J, Yang J Y, et al. Target recognition in synthetic aperture radar via non-negative matrix factorization[J]. IET Radar, Sonar and Navigation, 9, 1376-1385(2015).
[12] 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 Applied Earth Observation and Remote Sensing, 8, 3316-3328(2015).
[13] Liu Xiaowen, Lei Juncheng, Wu Yanpeng. Synthetic aperture radara target recognition based on bidimensional empirical mode decomposition[J]. Laser and Optoelectronics Progress, 57, 041004(2020).
[14] Hao Yan, Ai Yanping, Zhang Xiaofei. Synthetic aperture radar target recognition based on KNN[J]. Fire Control & Command Control, 43, 113-115+120(2018).
[15] 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).
[16] Liu H C, Li S T. Decision fusion of sparse representation and support vector machine for SAR image target recognition[J]. Neurocomputing, 113, 97-104(2013).
[17] [17] 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.
[18] Han Ping, Wang Huan. Research on the synthetic aperture radar target recognition based on KPCA and sparse representation[J]. Journal of Signal Processing, 29, 1696-1701(2013).
[19] Zhang Xinzheng, Huang Peikang. SAR ATR based on Bayesian compressive sensing[J]. Systems Engineering and Electronics, 35, 40-44(2013).
[20] 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).
[21] Zhang Panpan, Luo Haibo, Ju Moran, et al. An improved capsule and its application in target recognition of SAR images[J]. Infrared and Laser Engineering, 49, 20201010(2020).
[22] 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).
[23] [23] Ding B Y, Wen G J, Ye F, et al. Feature extraction based on 2D compressive sensing f SAR automatic target recognition[C]EUCAP, 2017: 12191223.
[24] Zhang H C, Nasrabadi N M, Zhang Y, et al. Multi-view automatic target recognition using joint sparse representation[J]. IEEE Transactions on Aerospace and Electronic Systtems., 48, 2481-2497(2012).
[25] Zhang Hong, Zuo Xinlan, Huang Yao. Feature selection based on the correlation of sparse coefficient vectors with application to SAR target recognition[J]. Laser and Optoelectronics Progress, 57, 141029(2020).
[26] Zhou Guangyu, Liu Bangquan, Zhang Dan. Target recognition in SAR images based on variational mode decomposition[J]. Remote Sensing for Land and Resources, 32, 33-39(2020).
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Jianbo Wu, Zhengwu Lu, Yurong Guan, Qingdong Wang, Guosong Jiang. SAR target recognition using feature fusion by 2D compressive sensing with multiple random projection matrices[J]. Infrared and Laser Engineering, 2021, 50(6): 20200531
Category: Image processing
Received: Dec. 16, 2020
Accepted: --
Published Online: Aug. 19, 2021
The Author Email: Guosong Jiang (jixiang_sng@163.com)