[1] 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. Infrared dim target detection based on improved particle swarm optimization algorithm［J］. Laser & Optoelectronics Progress, 2017, 54(11): 111101.

[2] 杨磊. 复杂背景条件下的红外小目标检测与跟踪算法研究［D］. 上海: 上海交通大学, 2006: 75-86.

    Yang L. Study on infrared small target detection and tracking algorithm under complex backgrounds［D］. Shanghai: Shanghai Jiao Tong University, 2006: 75-86.

[3] 李欣. 复杂背景下红外弱小目标检测算法研究［D］. 西安: 西安电子科技大学, 2010: 25-42.

    Li X. Research on infrared dim target detection under complex background［D］. Xi′an: Xidian University, 2010: 25-42.

[4] Bakhdavlatov S, 毛羽忻, 龚萍, 等. 基于局部熵值图的目标检测分割及质心计算［C］. 第15届中国系统仿真技术及其应用年会论文集, 2014: 237-241.

    Bakhdavlatov S, Mao Y X, Gong P, et al. Target detection, segmentation and geometric centre of the object based on local entropy algorithm［C］. 15th Chinese Conference on System Simulation Technology & Application, 2014: 237-241.

[5] 王忠华, 刘建国, 邓鹤. 基于新的加权局部熵的小目标红外图像处理［J］. 华中科技大学学报(自然科学版), 2017, 45(8): 42-46.

    Wang Z H, Liu J G, Deng H. Small-target infrared image processing based on novel weighted-local entropy［J］. Journal of Huazhong University of Science and Technology (Nature Science Edition), 2017, 45(8): 42-46.

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

[7] 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.

[8] 彭志涛, 陈风东, 唐军, 等. 高斯差分滤波多尺度损伤提取方法［J］. 强激光与粒子束, 2017, 29(9): 091003.

    Peng Z T, Chen F D, Tang J, et al. Extracting multi-scale laser damage in optics on difference of Gaussian filter［J］. High Power Laser and Particle Beams, 2017, 29(9): 091003.