[1] [1] Hara Y, Atkins R G, Yueh S H, et al. Application of neural networks to radar image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(1): 100-109.

[2] [2] Lecun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324.

[3] [3] Lecun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015, 521: 436-444.

[4] [4] Ji S W, Xu W, Yang M. 3D convolutional neural networks for human action recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(1): 221-231.

[5] [5] ElBadawy M, Elons A S. Arabic sign language recognition with 3D convolutional neural networks[C]//8th International Conference on Intelligent Computing and Information Systems, 2017: 66-71.

[6] [6] Jing L L, Ye Y C. 3D Convolutional neural network with multi-model framework for action recgnition[C]//2017 IEEE International Conference on Image Processing, 2017: 1837-1841.

[7] [7] Torfi A, Mehdi S. 3D Convolutional neural networks for cross audio-visual matching recognition[J]. IEEE Access, 2017, 5: 22081-22091.

[8] [8] Zhou Y, Wang H P, Xu F, et al. Polarimetric SAR image classification using deep convolutional neural networks[J]. IEEE Geoscience and Remote Sensing Letterss, 2016, 13(12): 1935-1939.

[9] [9] Zhou Y, Wang H P, Xu F. PolSAR terrain classification using deep convolutional networks[C]//2016 Progress In Electromagnetic Research Symposium (PIERS), 2016: 5121-5124.

[10] [10] Haensch R, Hellwich O. Complex-valued convolutional neural networks for object detection in PolSAR data[C]//8th European Conference on Synthetic Aperture Radar, 2011: 1-4.

[11] [11] Zhang Z M, Wang H P. Complex-valued convolutional neural network and its application in polarimetric SAR image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(12): 7177-7188.

[12] [12] Bishop C M. Training with noise is equivalent to tikhonov regularization[J]. Neural Computation, 1995, 7(1): 108-116.