[2] Liu Rang, Wang Dejiang, Jia Ping, et al. Overview on small target detection technology in infrared image[J]. Laser & Optoelectronics Progress, 2016, 53(5): 050004.
[3] Deng H, Sun X P, Liu M L, et al. Entropy-based window selection for detecting dim and small infrared targets[J]. Pattern Recognition, 2017, 61(6): 66-77.
[4] Hu J, Yu Y, Liu F. Small and dim target detection by background estimation [J]. Infrared Physics & Technology, 2015, 73(11): 141-148.
[5] Zhou Z Q, Wang B, Li S, et al. Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters[J]. Information Fusion, 2016, 30(7): 15-26.
[6] Zhao Y, Pan H B, Du C P, et al. Bilateral two-dimensional least mean square filter for infrared small target detection[J]. Infrared Physics & Technology, 2014, 65(7): 17-23.
[7] Xiang T Z, Yan L, Gao R R. A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain[J]. Infrared Physics & Technology, 2015, 69(3): 53-61.
[8] Turgut O E. Hybrid chaotic quantum behaved particle swarm optimization algorithm for thermal design of plate fin heat exchangers[J]. Applied Mathematical Modelling, 2016, 40(1): 50-69.
[9] Coelho L D S. Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems[J]. Expert Systems with Applications, 2010, 37(2): 1676-1683.
[10] Yao Lisha, Zhu Zhenyuan, Cheng Jiaxing. Color image encryption algorithm based on DNA sequence operation and fractional order Chen hyper-chaotic system[J]. Laser & Optoelectronics Progress, 2016, 53(9): 091003.
[11] Yuan Zhiwei, Huang Shucai, Xiong Zhigang, et al. Infrared small target detection based on SVM posterior probability[J]. Laser & Infrared, 2016, 46(6): 766-771.
[13] He Yujie, Li Min, Zhang Jinli, et al. Infrared small target detection method based on correlation filter[J]. Acta Optica Sinica, 2016, 36(5): 0512001.