[1] 王园园, 赵耀宏, 罗海波, 等. 海面红外图像的动态范围压缩及细节增强[J]. 红外与激光工程, 2019, 48(1): 0126003. doi:  10.3788/IRLA201948.0126003

Wang Yuanyuan, Zhao Yaohong, Luo Haibo, et al. Dynamic range compression and detail enhancement of sea-surface infrared image [J]. Infrared and Laser Engineering, 2019, 48(1): 0126003. (in Chinese) doi:  10.3788/IRLA201948.0126003
[2] 王洪庆, 许廷发, 孙兴龙, 等. 目标运动轨迹匹配式的红外-可见光视频自动配准[J]. 光学精密工程, 2018, 26(6): 1533-1541. doi:  10.3788/OPE.20182606.1533

Wang Hongqing, Xu Tingfa, Sun Xinglong, et al. Infrared-visible video registration with matching motion trajectories of targets [J]. Optics and Precision Engineering, 2018, 26(6): 1533-1541. (in Chinese) doi:  10.3788/OPE.20182606.1533
[3] 乔铁英, 蔡立华, 李宁, 等. 基于红外辐射特性系统实现对面目标测量[J]. 中国光学, 2018, 11(5): 804-811. doi:  10.3788/co.20181105.0804

Qiao Tieying, Cai Lihua, Li Ning, et al. Opposite target measurement based on infrared radiation characteristic system [J]. Chinese Optics, 2018, 11(5): 804-811. (in Chinese) doi:  10.3788/co.20181105.0804
[4] 吴彩莲, 郝永平, 张乐, 等. 基于多特征融合的红外目标识别算法 [J]. 弹箭与制导学报, 2019, 39(3): 39–44.

Wu Cailian, Hao Yongping, Zhang Le, et al. Infrared target recognition algorithm based on multi-feature fusion [J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019, 39(3): 39-44. (in Chinese)
[5] 苏娟, 杨罗, 张阳阳. 基于轮廓片段匹配和图搜索的红外目标识别方法[J]. 兵工学报, 2015, 36(5): 854–860. doi:  10.3969/j.issn.1000-1093.2015.05.013

Su Juan, Yang Luo, Zhang Yangyang. Infrared target recognition algorithm based on fragment matching and graph searching [J]. Acta Armamentarii, 2015, 36(5): 854-860. (in Chinese) doi:  10.3969/j.issn.1000-1093.2015.05.013
[6] 谢志华, 刘国栋. 基于多尺度局部二元模式共生直方图的红外人脸识别 [J]. 红外与激光工程, 2015, 44(1): 391–397. doi:  10.3969/j.issn.1007-2276.2015.01.065

Xie Zhihua, Liu Guodong. Infrared face recognition based on co-occurrence histogram of multi-scale local binary patterns [J]. Infrared and Laser Engineering, 2015, 44(1): 391-397. (in Chinese) doi:  10.3969/j.issn.1007-2276.2015.01.065
[7] Zhao Aigang, Wang Hongli, Yang Xiaogang, et al. An affine invariant method of forward looking infrared target recognition [J]. Laser & Optoelectronics Progress, 2015, 52(7): 071501. (in Chinese)
[8] 李萍, 张波, 尚怡君. 基于红外图像和特征融合的飞机目标识别方法[J]. 电光与控制, 2016, 23(8): 92–96.

Li Ping, Zhang Bo, Shang Yijun. Aircraft target identification based on infrared image and feature fusion [J]. Electronics Optics & Control, 2016, 23(8): 92-96. (in Chinese)
[9] 王世亮, 杨帆, 张志伟, 等. 基于目标红外特征与SIFT特征相结合的目标识别算法[J]. 红外技术, 2012, 34(9): 503–507.

Wang Shiliang, Yang Fan, Zhang Zhiwei. Target recognition method based on infrared features and SIFT [J]. Infrared Technology, 2012, 34(9): 503-507. (in Chinese)
[10] 张迪飞, 张金锁, 姚克明, 等. 基于SVM分类的红外舰船目标识别[J]. 红外与激光工程, 2016, 45(1): 0104004. doi:  10.3788/irla201645.0104004

Zhang Difei, Zhang Jinsuo, Yao Keming, et al. Infrared ship-target recognition based on SVM classification [J]. Infrared and Laser Engineering, 2016, 45(1): 0104004. (in Chinese) doi:  10.3788/irla201645.0104004
[11] 杨春伟, 王仕成, 廖守忆, 等. 基于核稀疏编码的红外目标识别方法[J]. 红外技术, 2016, 38(3): 230–235. doi:  10.11846/j.issn.1001_8891.201603010

Yang Chunwei, Wang Shicheng, Liao Shouyi. An infrared target recognition method based on kernel sparse coding [J]. Infrared Technology, 2016, 38(3): 230-235. (in Chinese) doi:  10.11846/j.issn.1001_8891.201603010
[12] 杜珺, 高九萍. 一种改进型PSO-BP算法在红外目标中的应用[J]. 火力与指挥控制, 2020, 45(6): 62–66.

Du Jun, Gao Jiuping. Research and application of an improved PSO-BP algorithm in infrared targets [J]. Fire Control & Command Control, 2020, 45(6): 62-66. (in Chinese)
[13] 黄乐弘, 曹立华, 李宁, 等. 深度学习的空间红外弱小目标状态感知方法[J]. 中国光学, 2020, 13(3): 527-536.

Huang Lehong, Cao Lihua, Li Ning, et al. A state perception method for infrared dim and small targets with deep learning [J]. Chinese Optics, 2020, 13(3): 527-536. (in Chinese)
[14] D’acremont A, Fablet R, Baussard A, et al. CNN-based target recognition and identification for infrared imaging in defense systems [J]. Sensors, 2019, 19: 2040. doi:  10.3390/s19092040
[15] 许来祥, 刘刚, 刘森, 等. 基于改进CNN的红外目标识别方法研究[J]. 火力与指挥控制, 2020, 45(8): 136–141. doi:  10.3969/j.issn.1002-0640.2020.08.023

Xu Laixiang, Liu Gang, Liu Sen, et al. Research on infrared target recognition based on improved convolution neural network [J]. Fire Control & Command Control, 2020, 45(8): 136-141. (in Chinese) doi:  10.3969/j.issn.1002-0640.2020.08.023
[16] 史国军. 深度特征联合表征的红外图像目标识别方法[J]. 红外与激光工程, 2021, 50(3): 20200399. doi:  10.3788/IRLA20200399

Shi Guojun. Target recognition method of infrared imagery via joint representation of deep features [J]. Infrared and Laser Engineering, 2021, 50(3): 20200399. (in Chinese) doi:  10.3788/IRLA20200399
[17] Peng J L, Li Q, El-latif A A, et al. Linear discriminant multi-set canonical correlations analysis (LDMCCA): An efficient approach for feature fusion of finger biometrics [J]. Multimedia Tools and Applications, 2015, 74(13): 4469-4486. doi:  10.1007/s11042-013-1817-x
[18] 邱爱昆, 朱嘉钢. 基于集成学习的多重集典型相关分析方法[J]. 计算机工程与应用, 2017, 53(6): 162–169. doi:  10.3778/j.issn.1002-8331.1510-0147

Qiu Aikun, Zhu Jiagang. Multi-set canonical correlations analysis based on ensemble learning [J]. Computer Engineering and Applications, 2017, 53(6): 162-169. (in Chinese) doi:  10.3778/j.issn.1002-8331.1510-0147
[19] 王鹏, 张肖敏, 白艳萍. 基于CNN-ELM的SAR图像分类识别 [J]. 数学的实践与认识, 2018, 48 (23): 75–80.

Wang Peng, Zhang Xiaomin, Bai Yanping. Classification and recognition of SAR image based on CNN-ELM [J]. Mathematics in Practice and Theory, 2018, 48(23): 75-80. (in Chinese)
[20] 刘志超, 屈百达. 结合BM3D去噪与极限学习机的SAR目标分类方法 [J]. 电光与控制, 2021, 28(6): 29–32. doi:  10.3969/j.issn.1671-637X.2021.06.007

Liu Zhichao, Qu Baida. An SAR target classification method based on BM3D denoising and extreme learning machine [J]. Electronics Optics & Control, 2021, 28(6): 29-32. (in Chinese) doi:  10.3969/j.issn.1671-637X.2021.06.007
[21] 张建明, 刘阳春, 吴宏林. 基于极限学习机与子空间追踪的人脸识别算法 [J]. 计算机工程, 2016, 42(1): 168–173. doi:  10.3969/j.issn.1000-3428.2016.01.030

Zhang Jianming, Liu Yangchun, Wu Honglin. Face recognition algorithm based on extreme learning machine and subspace pursuit [J]. Computer Engineering, 2016, 42(1): 168-173. (in Chinese) doi:  10.3969/j.issn.1000-3428.2016.01.030