[1] 王力民, 张蕊, 林一楠, 等. 红外探测技术在军事上的应用[J]. 红外与激光工程, 2008, 37(S2): 570-574.

    Wang L M, Zhang R, Lin Y N, et al. Application in the military of the IR detection technology[J]. Infrared and Laser Engineering, 2008, 37(S2): 570-574.

[2] 侯旺, 孙晓亮, 尚洋, 等. 红外弱小目标检测技术研究现状与发展趋势[J]. 红外技术, 2015, 37(1): 1-10.

    Hou W, Sun X L, Shang Y, et al. Present state and perspectives of small infrared targets detection technology[J]. Infrared Technology, 2015, 37(1): 1-10.

[3] 李意, 雷志勇, 李青松. 红外探测技术的应用与发展[J]. 国外电子测量技术, 2018, 37(2): 80-83.

    Li Y, Lei Z Y, Li Q S. Application and development of the infrared detection technology[J]. Foreign Electronic Measurement Technology, 2018, 37(2): 80-83.

[4] 赵慧洁, 谷建荣, 籍征, 等. 红外多光谱技术在昼夜交替时段探测的应用[J]. 红外与激光工程, 2018, 47(2): 84-90.

    Zhao H J, Gu J R, Ji Z, et al. Application of infrared multi-spectral technique in the diurnal cycle detection[J]. Infrared and Laser Engineering, 2018, 47(2): 84-90.

[5] 于强, 黄树彩, 赵炜, 等. 红外弱小目标检测与识别一体化方法研究[J]. 红外技术, 2014, 36(8): 633-638.

    Yu Q, Huang S C, Zhao W, et al. Researches on the integration of infrared dim and small targets detection and recognition[J]. Infrared Technology, 2014, 36(8): 633-638.

[6] Bi Y G, Bai X Z, Jin T, et al. Multiple feature analysis for infrared small target detection[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(8): 1333-1337.

[7] 李思俭, 樊祥, 朱斌, 等. 基于运动模糊复原技术的红外弱小目标检测方法[J]. 光学学报, 2017, 37(6): 0610001.

    Li S J, Fan X, Zhu B, et al. A method for small infrared targets detection based on the technology of motion blur recovery[J]. Acta Optica Sinica, 2017, 37(6): 0610001.

[8] 姚成乾, 陈伟. 基于改进粒子算法的红外弱小目标检测研究[J]. 激光与光电子学进展, 2017, 54(11): 111101.

    Yao C Q, Chen W. Infrareddim target detection based on improved particle swarm optimization algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111101.

[9] 赵东, 周慧鑫, 秦翰林, 等. 基于引导滤波和核相关滤波的红外弱小目标跟踪[J]. 光学学报, 2018, 38(2): 0204004.

    Zhao D, Zhou H X, Qin H L, et al. Infrared dim-small target tracking based on guided image filtering and kernelized correlation filtering[J]. Acta Optica Sinica, 2018, 38(2): 0204004.

[10] ZhangW, Cong MY, Wang LP. Algorithms for optical weak small targets detection and tracking: Review[C]∥International Conference on Neural Networks and Signal Processing, December 14-17, 2003, Nanjing, China. New York: IEEE, 2003: 643- 647.

[11] Rivest J F, Fortin R. Detection of dim targets in digital infrared imagery by morphological image processing[J]. Optical Engineering, 1996, 35(7): 1886-1893.

[12] Gao C Q, Meng D Y, Yang Y, et al. Infrared patch-image model for small target detection in a single image[J]. IEEE Transactions on Image Processing, 2013, 22(12): 4996-5009.

[13] 赵坤, 孔祥维. 小目标红外图像背景噪声的抑制及方法讨论[J]. 光学与光电技术, 2004, 2(2): 9-12.

    Zhao K, Kong X W. Background noise suppression in small targets infrared images and its method discussion[J]. Optics & Optoelectronic Technology, 2004, 2(2): 9-12.

[14] Jiang JF, ShenJ. An effective adaptive median filter algorithm for removing salt & pepper noise inimages[C]∥Symposium on Photonics and Optoelectronics, June 19-21, 2010, Chengdu, China. New York: IEEE, 2010: 1- 4.

[15] 张新明, 党留群, 徐久成. 基于十字滑动窗口的快速自适应图像中值滤波[J]. 计算机工程与应用, 2007, 43(27): 37-39, 43.

    Zhang X M, Dang L Q, Xu J C. Fast adaptive image median filter based on crossing windows[J]. Computer Engineering and Applications, 2007, 43(27): 37-39, 43.

[16] 刘鹏宇, 哈睿, 贾克斌. 改进的自适应中值滤波算法及其应用[J]. 北京工业大学学报, 2017, 43(4): 581-586.

    Liu P Y, Ha R, Jia K B. Improved adaptive median filter and its' application[J]. Journal of Beijing University of Technology, 2017, 43(4): 581-586.

[17] 邓秀勤, 熊勇, 彭宏. 一种有效的自适应加权中值滤波算法[J]. 计算机工程与应用, 2009, 45(35): 185-187.

    Deng X Q, Xiong Y, Peng H. Effective adaptive weighted median filter algorithm[J]. Computer Engineering and Applications, 2009, 45(35): 185-187.

[18] Arce G. McLoughlin M. Theoretical analysis of the max/median filter[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987, 35(1): 60-69.

[19] 刘靳. 红外成像目标检测与识别方法研究[D]. 西安: 西安电子科技大学, 2010: 21- 22.

    LiuJ. Research on detection and recognition for infrared imaging target[D]. Xi'an:Xidian University, 2010: 21- 22.

[20] 张世锋, 黄心汉, 王敏. 红外背景抑制与小目标检测算法[J]. 中国图象图形学报, 2016, 21(8): 1039-1047.

    Zhang S F, Huang X H, Wang M. Algorithm of infrared background suppression and small target detection[J]. Journal of Image and Graphics, 2016, 21(8): 1039-1047.

[21] FarajzadehM, MahmoodiA, Arvan MR. Detection of small target based on morphological filters[C]∥20 th Iranian Conference on Electrical Engineering, May 15-17, 2012, Tehran, Iran. New York: IEEE , 2012: 1097- 1101.

[22] Zhang SF, Huang XH, WangM. Background suppression algorithm for infrared images based on robinson guard filter[C]∥International Conference on Multimedia and Image Processing, March 17-19, 2017, Wuhan, China. New York: IEEE, 2017: 250- 254.

[23] TomasiC, ManduchiR. Bilateral filtering for gray and color images[C]∥International Conference on Computer Vision, January 7, 1998, Bombay, India, India. New York: IEEE, 1998: 839- 846.

[24] Bae TW, Sohng K I. Small target detection using bilateral filter based on edge component[J]. Journal of Infrared and Millimeter Waves, 2010, 31(6): 735-743.

[25] SerraJ. Image analysis and mathematical morphology[M]. New York: Academic Press, 1982.

[26] Bai X Z, Zhou F G. Analysis of new Top-Hat transformation and the application for infrared dim small target detection[J]. Pattern Recognition, 2010, 43(6): 2145-2156.

[27] Zeng M, Li J X, Peng Z. The design of Top-Hat morphological filter and application to infrared target detection[J]. Infrared Physics & Technology, 2006, 48(1): 67-76.

[28] Marvasti F S, Mosavi M R, Nasiri M. Flying small target detection in IR images based on adaptive toggle operator[J]. IET Computer Vision, 2018, 12(4): 527-534.

[29] 白相志, 周付根, 解永春, 等. 新型Top-Hat变换及其在红外小目标检测中的应用[J]. 数据采集与处理, 2009, 24(5): 643-649.

    Bai X Z, Zhou F G, Xie Y C, et al. New Top-Hat transformation and application on infrared small target detection[J]. Journal of Data Acquisition & Processing, 2009, 24(5): 643-649.

[30] 刘源, 汤心溢, 李争. 基于新Top Hat变换局部对比度的红外小目标检测[J]. 红外技术, 2015, 37(7): 544-552.

    Liu Y, Tang X Y, Li Z. A new Top Hat local contrast based algorithm for infrared small target detection[J]. Infrared Technology, 2015, 37(7): 544-552.

[31] Comaniciu D. An algorithm for data-driven bandwidth selection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(2): 281-288.

[32] 倪林. 小波变换与图像处理[M]. 合肥: 中国科学技术大学出版社, 2010: 12- 14.

    NiL. Wavelet transform and image processing[M]. Hefei: University of Science and Technology of China Press, 2010: 12- 14.

[33] Starck J L, Candes E J, Donoho D L. The curvelet transform for image denoising[J]. IEEE Transactions on Image Processing, 2002, 11(6): 670-684.

[34] do M N, Vetterli M. The contourlet transform: An efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.

[35] da Cunha A L, Zhou J, do M N. The nonsubsampled contourlet transform: Theory, design, and applications[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.

[36] Anju TS, Raj N R N. Shearlet transform based image denoising using histogram thresholding[C]∥International Conference on Communication Systems and Networks, July 21-23, 2016, Thiruvananthapuram, India. New York: IEEE, 2017: 162- 166.

[37] BoccignoneG, ChianeseA, PicarielloA. Small target detection using wavelets[C]∥International Conference on Pattern Recognition, August 20-20, 1998, Brisbane, Queensland, Australia. New York: IEEE, 1998: 1776- 1778.

[38] 吴文怡, 吴一全. 基于Contourlet变换的红外弱小目标检测方法[J]. 红外与激光工程, 2008, 37(1): 136-138.

    Wu W Y, Wu Y Q. Method of infrared dim targets detection based on Contourlet transform[J]. Infrared and Laser Engineering, 2008, 37(1): 136-138.

[39] Ji SX, Wu YQ, Wu YQ. Infrared small target detection based on complex contourlet transform and principal component analysis[C]∥International Congress on Image and Signal Processing, October 16-18, 2010, Yantai, China. New York: IEEE, 2010: 2579- 2583.

[40] 吴一全, 纪守新, 占必超. 基于无下采样Contourlet变换和独立分量分析的红外弱小目标检测[J]. 光学学报, 2011, 31(5): 0510002.

    Wu Y Q, Ji S X, Zhan B C. Infrared dim target detection based on nonsubsampled contourlet transform and independent component analysis[J]. Acta Optica Sinica, 2011, 31(5): 0510002.

[41] 吴一全, 尹丹艳, 纪守新. 基于双树复数小波和SVR的红外小目标检测[J]. 仪器仪表学报, 2010, 31(8): 1834-1839.

    Wu Y Q, Yin D Y, Ji S X. Detection of small infrared target based on dual-tree complex wavelet transform and SVR[J]. Chinese Journal of Scientific Instrument, 2010, 31(8): 1834-1839.

[42] 张翔, 张建奇, 秦翰林, 等. 基于对偶树复小波变换的红外弱小目标背景抑制[J]. 光子学报, 2010, 39(9): 1672-1677.

    Zhang X, Zhang J Q, Qin H L, et al. Dual-tree complex wavelet transform for infrared dim target background suppression[J]. Acta Photonica Sinica, 2010, 39(9): 1672-1677.

[43] 吴天爱, 黄树彩, 苑智玮, . 联合, 等. NSCT 和 SVD 方法的红外弱小目标复杂背景抑制[J]. 红外技术, 2016, 38(9): 758-764.

    Wu T A, Huang S C, Yuan Z W, et al. NSCT combined with SVD for infrared dim target complex background suppression[J]. Infrared Technology, 2016, 38(9): 758-764.

[44] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.

[45] 范开国, 顾艳镇, 陈春涛, 等. 希尔伯特-黄变换在遥感图像中的实例研究与应用展望[J]. 海洋技术学报, 2015, 34(4): 53-58.

    Fan K G, Gu Y Z, Chen C T, et al. Study and application of Hilbert-Huang transform in remote sensing images[J]. Journal of Ocean Technology, 2015, 34(4): 53-58.

[46] 张永梅, 王世伟, 王小虎, 等. 基于希尔伯特黄变换的图像去噪方法[J]. 计算机测量与控制, 2013, 21(11): 3060-3062.

    Zhang Y M, Wang S W, Wang X H, et al. An image noise removal method based on Hilbert Huang transform[J]. Computer Measurement & Control, 2013, 21(11): 3060-3062.

[47] 邓江华, 王然, 陈忠, 等. BEMD在复杂背景下弱小目标检测中的应用[J]. 计算机工程与应用, 2012, 48(21): 205-208, 216.

    Deng J H, Wang R, Chen Z, et al. BEMD in weak and small target detection under complicated background[J]. Computer Engineering and Applications, 2012, 48(21): 205-208, 216.

[48] 解婷, 陈忠, 马荣毅. 一种基于PGF、BEMD和局部逆熵的新型红外小目标检测方法[J]. 红外与毫米波学报, 2017, 36(1): 92-101.

    Xie T, Chen Z, Ma R Y. A novel method for infrared small target detection based on PGF, BEMD and LIE[J]. Journal of Infrared and Millimeter Waves, 2017, 36(1): 92-101.

[49] 王刚, 陈永光, 杨锁昌, 等. 采用图像块对比特性的红外弱小目标检测[J]. 光学精密工程, 2015, 23(5): 1424-1433.

    Wang G, Chen Y G, Yang S C, et al. Detection of infrared dim small target based on image patch contrast[J]. Optics and Precision Engineering, 2015, 23(5): 1424-1433.

[50] Koch C, Poggio T. Predicting the visual world: Silence is golden[J]. Nature Neuroscience, 1999, 2(1): 9-10.

[51] Hou XD, Zhang LQ. Saliency detection: A spectral residual approach[C]∥IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, Minneapolis, MN, USA. New York: IEEE, 2007: 1- 8.

[52] 胡暾, 赵佳佳, 曹原, 等. 基于显著性及主成分分析的红外小目标检测[J]. 红外与毫米波学报, 2010, 29(4): 303-306.

    Hu T, Zhao J J, Cao Y, et al. Infrared small target detection based on saliency and principle component analysis[J]. Journal of Infrared and Millimeter Waves, 2010, 29(4): 303-306.

[53] 周姣, 辛云宏. 基于显著性与尺度空间的红外弱小目标检测[J]. 激光与红外, 2015, 45(4): 452-456.

    Zhou J, Xin Y H. Infrared dim small target detection based on saliency and scale-space[J]. Laser & Infrared, 2015, 45(4): 452-456.

[54] 易翔, 王炳健. 基于多特征的快速红外弱小目标检测算法[J]. 光子学报, 2017, 46(6): 0610002.

    Yi X, Wang B J. Fast infrared and dim target detection algorithm based on multi-feature[J]. Acta Photonica Sinica, 2017, 46(6): 0610002.

[55] Shao X P, Fan H, Lu G X, et al. An improved infrared dim and small target detection algorithm based on the contrast mechanism of human visual system[J]. Infrared Physics & Technology, 2012, 55(5): 403-408.

[56] Kim S, Yang Y, Lee J, et al. Small target detection utilizing robust methods of the human visual system for IRST[J]. Journal of Infrared, Millimeter, and Terahertz Waves, 2009, 30(9): 994-1011.

[57] Wang X, Lü G, Xu L Z. Infrared dim target detection based on visual attention[J]. Infrared Physics & Technology, 2012, 55(6): 513-521.

[58] Han J H, Ma Y, Huang J, et al. An infrared small target detecting algorithm based on human visual system[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(3): 452-456.

[59] Chen C L P, Li H, Wei Y T, et al. . A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 574-581.

[60] Han J H, Ma Y, Zhou B, et al. A robust infrared small target detection algorithm based on human visual system[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(12): 2168-2172.

[61] Qin Y, Li B. Effective infrared small target detection utilizing a novel local contrast method[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1890-1894.

[62] Shi Y F, Wei Y T, Yao H, et al. High-boost-based multiscale local contrast measure for infrared small target detection[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(1): 33-37.

[63] 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.

    Zhang X Y, Ding Q H, Luo H B, et al. Infrared dim target detection algorithm based on improved LCM[J]. Infrared and Laser Engineering, 2017, 46(7): 0726002.

[64] Bai X Z, Bi Y G. Derivative entropy-based contrast measure for infrared small-target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(4): 2452-2466.

[65] Nasiri M, Mosavi M R, Mirzakuchaki S. IR small target detection based on human visual attention using pulsed discrete cosine transform[J]. IET Image Processing, 2017, 11(6): 397-405.

[66] Dai Y M, Wu Y Q, Song Y. Infrared small target and background separation via column-wise weighted robust principal component analysis[J]. Infrared Physics & Technology, 2016, 77: 421-430.

[67] Guo J, Wu Y Q, Dai Y M. Small target detection based on reweighted infrared patch-image model[J]. IET Image Processing, 2018, 12(1): 70-79.

[68] 张丛丛, 王欢, 楼竞. 基于加权核范数最小化的红外弱小目标检测[J]. 华中科技大学学报(自然科学版), 2017, 45(10): 31-37.

    Zhang C C, Wang H, Lou J. Infrared small and dim target detection based on weighted nuclear norm minimization[J]. Journal of Huazhong University of Science and Technology (Nature Science Edition), 2017, 45(10): 31-37.

[69] Dai Y M, Wu Y Q. Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(8): 3752-3767.

[70] 熊斌, 黄心汉, 王敏. 基于自适应目标图像恢复的红外弱小目标检测[J]. 华中科技大学学报(自然科学版), 2017, 45(10): 25-30.

    Xiong B, Huang X H, Wang M. Infrared dim small target detection based on adaptive target image recovery[J]. Journal of Huazhong University of Science and Technology(Nature Science Edition), 2017, 45(10): 25-30.

[71] Wang X Y, Peng Z M, Kong D H, et al. Infrared dim and small target detection based on stable multisubspace learning in heterogeneous scene[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(10): 5481-5493.