[2] [2] 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.

[4] [4] 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.

[5] [5] PAPSON S, NARAYANAN R M. Classification via the shadow region in SAR imagery［J］. IEEE Transactions on Aerospace and Electronic System, 2012, 48(2): 969-980.

[6] [6] AMOON M, REZAI-RAD G A. Automatic target recognition of Synthetic Aperture Radar(SAR)images based on optimal selection of Zernike moment features［J］. IET Computer Vision, 2014, 8(2): 77-85.

[7] [7] MISHARA A K. Validation of PCA and LDA for SAR ATR［C］//TENCON 2008, IEEE Region 10 Conference, 2008: 1-6.

[9] [9] ZHAO Q, PRINCIPLE J C. Support vector machines for SAR automatic target recognition［J］. IEEE Transactions on Aerospace and Electronic System, 2001, 37(2): 643-654.

[10] [10] SUN Y J, LIU Z P, TODOROVIS S, et al. Adaptive boosting for SAR automatic target recognition［J］. IEEE Transactions on Aerospace and Electronic System, 2007, 43(1): 112-125.

[13] [13] DING B Y, WEN G J, MA C H, et al. Target recognition in synthetic aperture radar images using binary morphological operations［J］. Journal of Applied Remote Sensing, 2016, 10(4). doi: 10.1117/1. JRS.10.046006.