[1] Li Min, Zhou Zhenhua, Zhang Guilin. Image metric in performance evaluation of automatic target recognition algorithm[J]. Infrared and Laser Engineering, 2007, 36(3):412-416. (in Chinese)
[2] Jia Ping, Xu Ning, Zhang Ye. Automatic target recognition based on local feature extraction[J]. Optics and Precision Engineering, 2013, 21(7):1898-1905. (in Chinese)
[3] Xu Fang, Liu Jinghong, Zeng Dongdong, et al. Unsupervised ship detection and recognition based on Visual salience[J]. Optics and Precision Engineering, 2017, 25(5):1300-1311. (in Chinese)
[4] Jiang Shan, Zhang Rui, Han Guangliang, et al. Multi-feature fusion moving target tracking in gray image with complex background[J]. Chinese Optics, 2016, 9(3):320-328. (in Chinese)
[5] Lecun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015, 521(7553):436-444.
[6] Chen T, Borth D, Darrell T, et al. Deepsentibank:visual sentiment concept classification with deep convolutional neural networks[J]. Computer Science, 2014, 65(5):1087-1095.
[7] You Q, Luo J, Jin H, et al. Robust image sentiment analysis using progressively trained and domain transferred deep networks[C]//29th AAAI Conference on Artificial Intelligence (AAAI), 2015:381-388.
[8] Zhang F, Du B, and Zhang L. Saliency-guided unsupervised feature learning for scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4):2175-2184.
[9] Zhuang Fuzhen, Luo Ping, He Qing, et al. Progress in transfer learning[J]. Journal of Software, 2015, 261:26-39. (in Chinese)
[10] Song Jianzhong. The development trend of intelligent image processing[J]. Chinese Optics, 2011, 4(5):431-440. (in Chinese)
[11] Coates A, Lee H, Ng A Y. An analysis of single-layer networks in unsupervised feature learning[C]//14th International Conference on Artificial Intelligence and Statistics, 2011:215-223.
[12] Eng J, Zhang Z, Eyben F, et al. Autoencoder-based unsupervised domain adaptation for speech emotion recognition[J]. IEEE Signal Processing Letters, 2014, 21(9):1068-1072.
[13] Zhou J T, Pan S J, Tsang I W, et al. Hybrid heterogeneous transfer learning through deep learning[C]//28th AAAI Conference on Artificial Intelligence(AAAI), 2014:2213-2219.
[14] Guo Yingkai, Yang Jie, Lu Zhenggang. Unsupervised texture segmentation based on gaussian markov random field and neural network[J]. Infrared and Laser Engineering, 2000, 29:225-229. (in Chinese)
[15] Vedaldi A, Lenc K. MatConvNet:convolutional neural networks for matlab[C]//23rd ACM International Conference on Multimedia, 2015:689-692.
[16] Luo Haibo, Xu Lingyun, Hui Bin, et al. Present situation and prospect of target tracking methods based on deep learning[J]. Infrared and Laser Engineering, 2017, 46(5):0502002. (in Chinese)