[1] Huang Fuyu, Shen Xueju, Liu Xumin, et al. Detection of large field of view infrared targets based on spatial-temporal fusion processing[J]. Optical and Precision Engineering, 2015, 23(8):2328-2338. (in Chinese)黄富瑜, 沈学举, 刘旭敏,等. 基于空时域融合处理检测超大视场红外目标[J]. 光学精密工程, 2015, 23(8):2328-2338.
[2] Wang Fengzhao, Liu Xingtang, Huang Shucai. Multi feature target fusion detection algorithm based on fuzzy evidence theory[J]. Acta Optica Sinica, 2010, 30(3):713-719. (in Chinese)王凤朝, 刘兴堂, 黄树采. 基于模糊证据理论的多特征目标融合检测算法[J]. 光学学报, 2010, 30(3):713-719.
[3] Zhang Qiang, Cai Jingju, Zhang Qiheng. Anisotropic infrared background prediction method[J]. High Power Laser and Particle Beams, 2012, 24(2):301-306. (in Chinese)张强, 蔡敬菊, 张启衡. 各向异性的红外背景预测方法[J].强激光与粒子束, 2012, 24(2):301-306.
[4] Chen Hao, Ma Caiwen, Chen Yuecheng, et al. Multi dim feature detection and tracking algorithm based on multi feature fusion in complex background[J]. Acta Photonica Sinica, 2009, 38(9):2444-2448. (in Chinese)陈皓, 马彩文, 陈岳承,等. 基于多特征融合的复杂背景下弱小多目标检测和跟踪算法[J]. 光子学报, 2009, 38(9):2444-2448.
[5] Qin Hanlin, Han Jiaojiao, Yan Xiang, et al. Infrared small moving target detection using sparse representation-based image decomposition[J]. Infrared Physics Technology, 2016, 76:148-156.
[6] Yang L, Yang J, Yang K. Adaptive detection for infrared small target under sea-sky complex background[J]. Electronics Letters, 2004, 40(17):1083-1085.
[7] Hadhoud M M, Thomas D W. The two-dimensional adaptive LMS (TDLMS) algorithm[J]. IEEE Trans Circuits Syst, 1988, 35(5):485-494.
[8] Kim S, Lee J. Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track[J]. Pattern Recognit, 2012, 45(1):393-406.
[9] Strickland R N, Hahn H I. Wavelet transform methods for objects detection and recovery[J]. IEEE Transactions on Image Processing, 1997, 6(5):724-735.
[10] Zhang Zhongyu, Jiao Shuhong. Multi feature fusion infrared ship target detection method[J]. Infrared and Laser Engineering, 2015, 44(S1):29-34. (in Chinese)张仲瑜, 焦淑红. 多特征融合的红外舰船目标检测方法[J]. 红外与激光工程, 2015, 44(S1):29-34.
[11] Zhang Xiangyue, Ding Qinghai, Luo Haibo, et al. Infrared small target detection algorithm based on improved LCM[J].Infrared and Laser Engineering, 2017, 46(7):0726002. (in Chinese)张祥越, 丁庆海, 罗海波, 等. 基于改进LCM的红外小目标检测算法[J]. 红外与激光工程, 2017, 46(7):0726002.
[12] Wang Tian. Infrared dim target detection method based on multi feature fusion technology in cloud background[J]. Information and Computer, 2016(13):58-59. (in Chinese)王田. 采用多特征融合技术的云背景红外弱小目标检测方法[J]. 信息与电脑, 2016(13):58-59.
[13] Li Qiuhua, Li Jicheng, Shen Zhenkang. Infrared image small target detection based on multi-scale feature fusion[J]. System Engineering and Electronic Technology, 2005, 27(9):1557-1560. (in Chinese)李秋华, 李吉成, 沈振康. 基于多尺度特征融合的红外图像小目标检测[J]. 系统工程与电子技术, 2005, 27(9):1557-1560.
[14] Liu Rang, Wang Dejiang, Jia Ping, et al. Omnidirectional morphology combined with local feature criteria for point target detection[J]. Acta Optica Sinica, 2017, 37(11):1104001. (in Chinese)刘让, 王德江, 贾平,等. 全方位形态学联合局部特征准则的点目标检测[J]. 光学学报, 2017, 37(11):1104001.
[15] Mao Yuxin, Yang Junqiang, Qu Jinsong, et al. Point target detection algorithm based on local entropy. Journal of[J]. Artillery Launch and Control, 2014(3):41-44. (in Chinese)毛羽忻, 杨俊强, 曲劲松,等. 基于局部熵的点目标检测算法分析[J]. 火炮发射与控制学报, 2014(3):41-44.
[16] Liu Y, Chen F, Huang J, et al. Research on the detection technology to dim and small target[C]//Selected Papers From Conferences of the Photo electronic Technology Committee of the Chinese Society of Astronautics. International Society for Optics and Photonics, 2015:952111.
[17] Salari E, M Li. Dim target tracking with total variation and genetic algorithm[C]//IEEE International Conference on Electro/information Technology, Proc. of IEEE, 2014:270-274.