[1] Cheng Peirui, Wang Jianli, Wang Bin, et al. Salient object detection based on multi-scale region contrast[J]. Chinese Optics, 2016, 9(1): 97-105. (in Chinese)
[2] Shi Dongcheng, Ni Kang. Background modeling based on YCbCr color space and gesture shadow elimination[J]. Chinese Optics, 2015, 8(4): 589-595. (in Chinese)
[3] Chen Chao, Yu Yanqin, Huang Shujun, et al. 3D small-field imaging system[J]. Infrared and Laser Engineering, 2016, 45(8): 0824002. (in Chinese)
[4] Zhang Zhongyu, Jiao Shuhong. Infrared ship target detection method based on multiple feature fusion [J]. Infrared and Laser Engineering, 2015, 44(s): 29-34. (in Chinese)
[7] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]//Preceedings of the 26th Annual Conference on Neural Information Processing Systems(NIPS), 2012: 1097-1105.
[8] Bengio Y, Clurville A, Vincent P. Representation learning: a review and new perspectives [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(8): 1798-1828.
[9] Masci J, Meier U, Dan C, et al. Stacked convolutional auto-encoders for hierarchical feature extraction[C]//Proceedings of the 21st International Conference on Artificial Neural Networks, 2011: 52-59.
[10] Li Zuhe, Fan Yangyu, Wang Fengqin. Unsupervised feature learning with sparse autoencoders in YUV space [J]. Journal of Electronics & Information Technology, 2016, 38(1): 29-37. (in Chinese)
[11] Zhang F, Du B, Zhang L. Saliency-guided unsupervised feature learning for scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 2175-2184.
[12] Luo Haibo, Xu Lingyun, Hui Bin, et al. Status and prospect of target tracking based on deep learning[J]. Infrared and Laser Engineering, 2017, 46(5): 0502002. (in Chinese)
[13] Adam Coates, Honglak Lee, Andrew Y Ng. An analysis of single-layer networks in unsupervised feature learning [C]// 14th International Conference on Artificial Intelligence and Statistics, 2011: 215-223.
[14] Dan C Ciresan, Ueli Meier, Jonathan Masci, et al. Flexible, high performance convolutional neural networks for image classification[C]//Proceedings of the 22nd International Joint Conference on Artificial Intelligence, 2011: 1237-1242.
[15] Zeng R, Wu J, Shao Z, et al. Quaternion softmax classifier[J]. Electronics Letters, 2014, 50(25): 1929-1930.