[1] Maitre H. Synthetic Aperture Radar Image Processing[M]. Sun Hong. Beijing: Publishing House of Electronics Industry, 2005 (Maitre H. 合成孔径雷达图像处理[M]. 孙洪.北京: 电子工业出版社, 2005)
[2] Wu Xiaohong, Xie Ming, Gan Ke,et al. Feature Extraction and Target Recognition of SAR Images[J]. Journal of Sichuan University(Natural Science Edition), 2007, 44(6): 1 275-1 280(吴晓红,谢明, 干可,等. SAR图像的特征提取与目标识别[J].四川大学学报(自然科学版), 2007, 44(6):1 275-1 280)
[3] Wan Peng, Wang Jianguo, Huang Shunji. A Synthesis Method for SAR Image Target Detection[J]. Acta Electronica Sinica, 2001, 29(3):323-325(万朋, 王建国, 黄顺吉. SAR图像目标综合检测方法[J].电子学报, 2001, 29(3): 323-325)
[4] Yin Hui. Research on Urban Scene Classification Method Using High Resolution Synthetic Aperture Radar Image Based on Local Feature Representation(殷慧. 基于局部特征表达的高分辨率SAR图像城区场景分类方法研究[D]. 武汉: 武汉大学,2010)
[5] He Chu, Liu Ming, Xu Lianyu,et al. A Hierarchical Classification Method Based on Feature Selection and Adaptive Decision Tree for SAR Image[J].Geomatics and Information Science of Wuhan University, 2012, 37(1): 46-49 (何楚, 刘明, 许连玉,等. 利用特征选择自适应决策树的层次SAR图像分类[J]. 武汉大学学报·信息科学版, 2012,37(1):46-49)
[6] Huan Ruohong, Zhang Ping, Pan Yun. SAR Target Recognition Using PCA, ICA and Gabor Wavelet Decision Fusion[J]. Journal of Remote Sensing, 2012, 16(2): 262-274(宦若虹, 张平, 潘赟. ICA、PCA和Gabor小波决策融合的SAR目标识别[J]. 遥感学报, 2012, 16(2): 262-274)
[7] He Chu, Liu Ming,Feng Qian, et al. PolInSAR Image Classification Based on Compressed Sensing and Multi-scale Pyramid[J]. Acta Automatic Sinica, 2011, 37(7): 820-827(何楚, 刘明, 冯倩,等. 基于多尺度压缩感知金字塔的极化干涉SAR图像分类[J]. 自动化学报, 2011, 37(7): 820-827)
[8] Hinton G E, Salakhutdinov R. Reducing the Dimensionality of Data with Neural Networks[J]. Science, 2006, 313(5 786):504-507
[9] Zhang Xiaolei, Wu Ji. Deep Belief Networks Based Voice Activity Detection[J]. IEEE Transactions on Audio, Speech and Language Processing,2013,21(4):697-710
[10] Vincent P, Larochelle H, Lajoie I, et al.Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion[J].Journal of Machine Learning Research, 2010,11:3 371-3 408
[11] Yang J C, Yu K, Gong Y H,et al. Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami, USA, 2009
[12] Zeiler M D, Taylor G W, Fergus R. Adaptive Deconvolutional Networks for Mid and High Level Feature Learning[C].IEEE International Conference on Computer Vision (ICCV), Barcelona,Spain,2011