[3] KRIZHEVSKY A, SUTSKEVER I, HINTON G E.Image-net classification with deep convolutional neural networks[C]//Proceedings of the 25th International Conference on Neural Information Processing Systems.Red Hook:Curran Associates Inc., 2012:1097-1105.
[4] SIMONYAN K, ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[R].Los Alamos: arXiv Preprint, 2015: arXiv:1409.1556.
[5] SZEGEDY C, VANHOUCKE V, IOFFE S, et al.Rethinking the inception architecture for computer vision[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE, 2016:2818-2826.
[6] HE K M, ZHANG X Y, REN S Q, et al.Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE, 2016:770-778.
[7] HUANG G, LIU Z, VAN D M L, et al.Densely connected convolutional networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Honolulu:IEEE, 2017:2261-2269.
[8] WAGNER S.Combination of convolutional feature extraction and support vector machines for radar ATR[C]//The 17th International Conference on Information Fusion(FUSION).Salamanca:IEEE, 2014:1-6.
[9] ZELNIO E, GARBER F D, MORGAN D.Deep convolutional neural networks for ATR from SAR imagery[C]//Algorithms for Synthetic Aperture Radar Imagery XXII.International Society for Optics and Photonics.Baltimore:SPIE, 2015:94750F.
[10] 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.
[11] MALMGREN-HANSEN D, KUSK A, DALL J, et al.Improving SAR automatic target recognition models with transfer learning from simulated data[J].IEEE Geoscience & Remote Sensing Letters, 2017, 14(9):1484-1488.
[12] HOUSSEINI E A, TOUMI A, KHENCHAF A.Deep learning for target recognition from SAR images[C]//Seminar on Detection Systems Architectures and Technologies(DAT).Algiers:IEEE, 2017:1-5.
[13] WANG J, ZHENG T, LEI P, et al.Ground target classification in noisy SAR images using convolutional neural networks[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(11):4180-4192.
[14] OYEBADE K.O, KAMIL D.Pattern recognition:invariance learning in convolutional auto encoder network[J].International Journal of Image, Graphics and Signal Processing(IJIGSP), 2016, 8(3):19-27.
[15] WU X Y, JIANG Y C, LV Z, et al.Target recognition of SAR image based on improved convolutional auto-encoding network[C]//The 6th Asia-Pacific Conference on Synthetic Aperture Radar(APSAR).Xiamen:IEEE, 2019:1-5.
[16] SAHAL M, SAID Z A, PUTRA R Y, et al.Comparison of CFAR methods on multiple targets in sea clutter using SPX-radar-simulator[C]//International Seminar on Intelligent Technology and Its Applications(ISITIA).Surabaya:IEEE, 2020:260-265.
[17] ABU A.CFAR detection algorithm for objects in sonar images[J].IET Radar, Sonar & Navigation, 2020, 14(11):1757-1766.
[18] KHALDI F, SOLTANI F, BAADECHE M.Fuzzy CFAR detectors for MIMO radars in homogeneous and non-homogeneous Pareto clutter[J].Journal of Communications Technology and Electronics, 2021, 66(1):62-69.
[19] SHEN H F, ZHOU C X, LI J, et al.SAR image despeckling employing a recursive deep CNN prior[J].IEEE Transactions on Geoscience and Remote Sensing, 2020, 59(1):273-286.