个人简历

教育经历\r
2014.9 -- 2017.6 北京航空航天大学 航空宇航制造工程 博士研究生毕业 博士\r
2007.9 -- 2010.6 北京航空航天大学 航空宇航制造工程 硕士研究生毕业 硕士\r
2003.9 -- 2007.6 西南交通大学 机械制造工程及其自动化 大学本科毕业 学士\r
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工作经历\r
2018.7 -- 至今 北京航空航天大学 无人系统研究院 高级工程师\r
2017.1 -- 2018.6 北京航空航天大学 无人系统研究院 工程师\r
2012.8 -- 2016.12 北京航空航天大学 无人机所 工程师\r
2010.7 -- 2012.7 北京航空航天大学 无人机所 助理工程师

研究领域

无人机视觉感知与指挥控制""

近期论文

李红光, 王菲, 丁文锐. 面向目标分类识别的多任务学习算法综述[J]. 航空学报, 2022, 43(1): 24889-024889.\r
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Li X , Li H , Jiang Y , et al. Lightweight Detection Network Based on Sub-Pixel Convolution and Objectness-Aware Structure for UAV Images[J]. Sensors, 2021, 21(16):5656.\r
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Li X , H Li, Yu R , et al. Few-Shot Scene Classification with attention mechanism in Remote Sensing[C]. Journal of Physics: Conference Series, 2021, 1961(1):012015 (12pp).\r
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李红光, 于若男, 丁文锐. 基于深度学习的小目标检测研究进展[J]. 航空学报, 2021, 42(7): 24691-024691.\r
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Li Yundong, Dong Han, Li Hongguang*, Zhang Xueyan, Zhang Baochang, et al. Multi-block SSD Based on Small Object Detection for UAV Railway Scene Surveillance[J]. Chinese Journal of Aeronautics, 2020.\r
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Li Yundong, Lin Chen, Hu Wei, Li Hongguang*, et al. Unsupervised Domain Adaptation with Self-attention for Post-disaster Building Damage Detection[J]. Neurocomputing, 2020.\r
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Li Yundong, Hu Wei, Li Hongguang*, Dong Han, Zhang Baochang, Tian Qing. Aligning Discriminative and Representative Features: An Unsupervised Domain Adaptation Method for Building Damage Assessment[J]. IEEE Transactions on Image Processing, 2020..[期刊]\r
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Yufeng Wang, Wenrui Ding, Baochang Zhang, Hongguang Li* and Shuo Liu. Superpixel Labeling Priors and MRF for Aerial Video Segmentation [J]. IEEE Trans. CSVT, 2019, doi: 10.1109/TCSVT.2019.2919482..[期刊]\r
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Li Yundong, Zhang Xueyan, Li Hongguang*, et al. Object detection and tracking under Complex environment using deep learning-based LPM[J]. Iet Computer Vision, 2019, 13(2):157-164.\r
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Li Yundong, Li Hongguang*, Wang Hongren. Pixel-Wise Crack Detection Using Deep Local Pattern Predictor for Robot Application[J]. Sensors, 2018, 18(9).\r
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Li Hongguang, Shi Yang, Zhang Baochang, et al. Superpixel-Based Feature for Aerial Image Scene Recognition [J]. Sensors, 2018, 18(2):156-167.\r
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Liu Chunlei, Ding Wenrui, Li Hongguang, et al. Establishing and diagnosing models in medium altitude UAV haze removal system [C]. IEEE International Conference on Unmanned Systems, 2017, 6-11.\r
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黄宇晴, 丁文锐, 李红光.基于图像增强的无人机侦察图像去雾方法[J]. 北京航空航天大学学报, 2017, 043(003):592-601.\r
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Zhao Xintao, Ding Wenrui, Liu Chunhui, Li Hongguang. Haze removal for UAV aerial video based on optimization of spatial-temporal coherence[J]. IET Image Processing, 2017\r
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Liu C, Ding W, Li H*, et al. Metadata-assisted nonuniform atmospheric scattering model of image haze removal for medium-altitude unmanned aerial vehicle[J]. Journal of electronic imaging, 2017, 26(5)\r
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Li Hongguang, Ding Wenrui, Cao Xianbin, et al. Image Registration and Fusion of Visible and Infrared Integrated Camera for Medium-Altitude Unmanned Aerial Vehicle Remote Sensing [J].Remote Sensing, 2017, 9(5):441-465.\r
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Huang Y , Ding W , Li H*. Haze removal for UAV reconnaissance images using layered scattering model[J]. Chinese Journal of Aeronautics, 2016\r
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Li Hongguang, Li Xinjun, Ding Wenrui, et al. Multi-sensor based high-precision direct georeferencing of medium-altitude unmanned aerial vehicle images [J]. International Journal of Remote Sensing, 2016, 38(6):1-26.\r
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Li Hongguang, Li Xinjun, Ding Wenrui, et al. Metadata-Assisted Global Motion Estimation for Medium-Altitude Unmanned Aerial Vehicle Video Applications [J]. Remote Sensing, 2015, 7(10):12606-12634.
1.中国测绘地理信息学会无人机创新工作委员会委员；
2.航空学会会员。