[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.

[2] ANAGNOSTOPOULOS G C.SVM-based target recognition from synthetic aperture radar images using target region outline descriptors ［J］.Nonlinear Analysis,2009,71(12):2934-2939.

[3] 谢晴,张洪.SAR图像多层次正则化增强及在目标识别中的应用［J］.电子测量与仪器学报,2018,32(9):157-162.

[4] PAPSON S,NARAYANAN R M.Classification via the shadow region in SAR imagery ［J］.IEEE Transactions on Aerospace and Electronic Systems,2012,48(2):969-980.

[5] MISHRA A K,MOTAUNG T.Application of linear and nonlinear PCA to SAR ATR［C］//The 25th International Conference Radioelektronika.Pardubice:IEEE,2015.doi:10.1109/RADIOELEK.2015.7129065.

[6] 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 & Navigation,2015,9(9):1376-1385.

[7] 王源源.基于单演信号多重集典型相关分析的SAR目标识别方法［J］.电光与控制,2019,26(10):7-11,29.

[8] 周光宇,刘邦权,张亶.基于变分模态分解的SAR图像目标识别方法［J］.国土资源遥感,2020,32(2):33-39.

[9] 丁柏圆,文贡坚,余连生,等.属性散射中心匹配及其在SAR目标识别中的应用［J］.雷达学报,2017,6(2):157-166.

[10] 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,2017,219:130-143.

[11] HUAN R H,PAN Y.Target recognition for multi-aspect SAR images with fusion strategies ［J］.Progress in Electromagnetics Research Symposium,2013,134:267-288.

[12] 赵鹏举, 甘凯.基于互补特征层次决策融合的SAR目标识别方法［J］.电光与控制,2018,25(10):28-32.

[13] LIU S K,YANG J.Target recognition in synthetic aperture radar images via joint multifeature decision fusion［J］.Journal of Applied Remote Sensing,2018,12(1):016012.

[14] 郝岩,白艳萍,张校非.基于KNN的合成孔径雷达目标识别［J］.火力与指挥控制,2018,43(9):113-115,120.

[15] 刘长清,陈博,潘舟浩,等.基于仿真SAR和SVM分类器的目标识别技术研究［J］.中国电子科学研究院学报,2016,11(3):257-262.

[16] 张虹,左鑫兰,黄瑶.基于稀疏表示系数相关性的特征选择及SAR目标识别方法［J］.激光与光电子学进展,2020,57(14):263-270.

[17] 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,2016,54(8):4806-4817.

[18] DU K N,DENG Y K,WANG R,et al.SAR ATR based on displacement- and rotation-insensitive CNN ［J］.Remote Sensing Letters,2016,7(9):895-904.

[19] WAGNER S A.SAR ATR by a combination of convolutional neural network and support vector machines ［J］.IEEE Transactions on Aerospace and Electronic Systems,2016,52(6):2861-2872.

[20] XING X W,JI K F,ZOU H X,et al.Sparse representation based SAR vehicle recognition along with aspect angle ［J］.The Scientific World Journal,2014,834140.doi:10.1155/2014/834140.

[21] 韩萍,王欢.结合KPCA和稀疏表示的SAR目标识别方法研究［J］.信号处理,2013,29(12):1696-1701.

[22] 张新征,黄培康.基于贝叶斯压缩感知的SAR目标识别［J］.系统工程与电子技术,2013,35(1):40-44.

[23] ZHANG L,TAO Z W,WANG B J.SAR image target recognition using kernel sparse representation based on reconstruction coefficient energy maximization rule ［C］// IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP).Shanghai:IEEE,2016.doi:10.1109/ICASSP.2016.7472101.

[24] 李亚娟.结合全局和局部稀疏表示的SAR图像目标识别方法［J］.电子测量与仪器学报,2020,34(2):165-171.

[25] 王源源.一种基于多分辨率表示的SAR图像识别方法［J］.电光与控制,2020,27(10):31-36.

[26] 冯冬艳,王海晖.相关性约束下SAR图像动态重构的目标识别方法［J］.电子测量与仪器学报,2019,33(9):100-106.

[27] 唐吉深,覃少华.稀疏表示系数下局部最优重构的SAR图像目标识别算法［J］.探测与控制学报,2021,43(2):69-75,80.

[28] 胡媛媛,韩彦龙.快速自适应二维经验模态分解在SAR目标识别中的应用研究［J］.电光与控制,2021,28(8):40-43,87.

[29] 王鑑航,张广宇,李艳.基于协同编码分类器的SAR 目标识别方法［J］.中国电子科学研究院学报,2019,14(3):290-295.