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李昆



教师简介

李昆,工学博士,校聘副教授。研究方向为高光谱遥感图像目标检测、跟踪与识别,深度学习在图像处理中的应用。在IEEE TIPIEEE TGRSIEEE TIMJAG等期刊上发表学术论文10余篇。主持国家自然科学基金地区项目1项,贵州省基础研究计划面上项目、基础研究青年引导项目各1项。招生专业:大数据技术与工程、通信工程、通信与信息系统、信号与信息处理。联系方式:lik@gzu.edu.cn

主要经历

2003.09-2007.07 中国矿业大学  计算机科学与技术专业 (本科)

2007.09-2010.03 天津理工大学  计算机应用技术专业 (硕士)

2019.02-2023.06  国防科技大学 信息与通信工程专业 (博士)

主要贡献

主持的项目:

1.时空谱扩散增强的高光谱图像小目标检测与跟踪方法研究,国家自然科学基金地区项目(62561010),2026.01-2029.12

2.基于特征扩散的高光谱防汛搜救目标检测方法研究,贵州省基础研究计划面上项目,2026.01-2028.12

3.面向真实场景的高光谱图像小目标检测与跟踪方法研究,贵州省基础研究计划青年引导项目(黔科合基础QN [2025]086),2025.01-2027.12

 

近五年发表的论文:

1. Kun Li, Yao Qin, Qiang Ling, Yingqian Wang, Zaiping Lin, Zaiping Lin, Wei An. Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 3215-3227. (中科院二区)

2. Kun Li, Qiang Ling, Yao Qin, Yingqian Wang, Yaoming Cai, Zaiping Lin, Wei An. Spectral-spatial deep support vector data description for hyperspectral anomaly detection [J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1–16, 2022. (中科院一区)

3. Kun Li, Qiang Ling, Yingqian Wang, Yaoming Cai, Yao Qin, Zaiping Lin, Wei An. Spectral Difference Guided Graph Attention Auto-Encoder for Hyperspectral Anomaly Detection [J]. IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1–17, 2023. (中科院二区)

4. Kun Li, Qiang Ling, Yingqian Wang, Yao Qin, Zaiping Lin, Wei An. Explicit Background Endmember Learning for Hyperspectral Anomaly Detection [J]. IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1–17, 2024. (中科院二区)

5. Kun Li, Qiang Ling, Yingqian Wang, Yaoming Cai, Yao Qin, Zaiping Lin, Wei An. A Cascaded Autoencoder Unmixing Network for Hyperspectral Anomaly Detection [J]. International Journal of Applied Earth Observation and Geoinformation, vol.136, p.104405, 2025. (中科院一区)

6. Caihuan Huang, Li Liu, Chao Xiao, Qiang Ling, Guosheng Li, Kun Li*. Endmember-Guided Spectral-Spatial Feature Diffusion for Hyperspectral Anomaly Detection [J]. IEEE Transactions on Geoscience and Remote Sensing, DOI 10.1109/TGRS.2025.3641223, 2025. (中科院一区,一作为所指导硕士生)

7. Yao Qin, Yuanxin Ye, Yue Zhao, Junzheng Wu, Han Zhang, Kenan Cheng, Kun Li*. Nearest Neighboring Self-Supervised Learning for Hyperspectral Image Classification [J]. Remote Sensingvol. 15, pp. 1713-1740, 2023. (中科院二区)

8. Qiang Ling, Kun Li, Zhaoxu Li, Zaiping Lin, Jiawen Wang. Hyperspectral detection and unmixing of subpixel target using iterative constrained sparse representation [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 1049–1063, 2022. (中科院二区)

9. Yanyang YanWenqi RenXiaobin HuKun LiXiaochun Cao. SRGAT: Single Image Super-Resolution With Graph Attention Network [J]. IEEE Transactions on Image Processing, vol. 30, pp. 4905-4918, 2021. (中科院一区)

10. Teliang Wang, Wei An, Zaiping Lin, Miao Li, Kun Li, Qian Yin, Wei Zhou. Non-uniformity and Blind Pixel Correction Based on 3-D Network with Over-smoothing Suppression [J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, 2025. (中科院一区)

 

学科竞赛

1. 2025年华为杯第二十二届中国研究生数学建模竞赛 全国三等奖。唯一指导老师(李昆),组员(李国胜,黄材焕,吴潘勇)