个人简介

李正周教授毕业于东北大学光电子专业，获理学学士学位；毕业于中国科学院光电技术研究所，获中国科学院研究生院物理电子学工学硕士学位和信号与信息处理工学博士学位；美国哈佛大学生物医学工程博士后。

先后担任本科生“雷达原理”、 “雷达信号处理”、“随机信号分析”、“DSP技术与应用”、“新生研讨课”等理论教学与实验，培养信息与通信工程博士研究生，以及电路与系统、信号与信息处理专业硕士研究生；主编清华大学出版社教材《Matlab数字信号处理与应用》。

围绕非合作目标信号探测、识别与跟踪等开展研究工作，主要从事高增益低噪声红外/可见光探测器、雷达/光电成像信号处理、微弱目标识别与跟踪、多源信息融合处理、无人分布式协同探测、可解释人工智能，以及高速实时嵌入式信号处理系统(FPGA/DSP/GPU)等研究。近年来获准了国家重点研发计划、国家自然科学基金、装备发展部重大研究任务、科技委应用推广和创新科技项目、装备领域基金、教育部高等学校博士点基金、企事业单位项目等多项科研项目，提出了若干新的目标探测体制与信号处理技术，研制出高性能红外/可见光探测器、多种型号的雷达/光电导引头，以及新型目标探测体系。以第一作者/通讯作者在IEEE Transactions on Aerospace and Electronic System等国内外重要学术刊物发表学术论文100余篇。获省部科技进步一等奖1项。

目标探测研究室与中国科学院、中国工程物理研究院、航天科技集团、航天科工集团、电子科技集团、九洲电器集团等国有大型科研机构和企业具有良好的合作关系，协同创新广泛开展新体制雷达/光电微弱目标探测器、信号处理技术与新型试验工作。

近年来主要科研项目：

[14]动态图像目标识别及位姿判读技术.零八一电子集团,2024-2025,主持；

[13]目标协同检测技术.科技委,2024-2025,课题负责；

[12]弱小目标检测算法研究.四川九洲电器集团有限责任公司,2023-2024；

[11]智能增强识别原理验证系统.中国工程物理研究院电子工程研究所,2023-2025,主持；

[10]XX简单光学成像系统.科技委,2023-2025,课题负责;

[9]成像探测器研制.发展部,2020-2022,主持；

[8]XX光电成像技术.科技委,2019-2020,主持；

[7]检测、识别与抗干扰技术研究.四川航天电子设备研究所,2018-2020,主持；

[6]基于视觉仿生的光学目标探测技术.黄鹄科学技术有限公司,2018-2020,主持；

[5]光学制导信息处理新技术.发展部,2018-2019,主持；

[4]光电特性识别与测量技术.中国科学院光电技术研究所,2016-2018,主持；

[3]探测传感器技术研究.科技委,2017-2018,主持；

[2]基于稀疏信号动态反演的远距离空间非合作目标形姿识别研究.国家自然科学基金面上项目,61675036,2017-2020,主持；

[1]基于空时频稀疏特征感知的深空成像弱小目标探测技术研究.国家自然科学基金面上项目,61071191, 2011-2013,主持。

近年来主要发表论文：

[28]Yongsong Li, Zhengzhou Li#, Zhiwei Guo, Yuchuan Liu, and Keping Yu. Infrared Small Target Detection Based on Adaptive Region Growing Algorithm with Iterative Threshold Analysis. IEEE Transactions on Geoscience and Remote Sensing, 2024.

[27]Yongsong Li, Zhengzhou Li#, Jie Li, Junchao Yang. Robust small infrared target detection using weighted adaptive ring top-hat transformation. Signal Processing, 2024, Vol. 217,109339.

[26]Abubakar Siddique, Zhengzhou Li#, Abdullah Azeem, Yuting Zhang, and Bitong Xu. Multi-Scale Context-Aware Feature Fusion Network for Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, VOL. 16, 8475-8491.

[25] Yongsong Li, Zhengzhou Li, Yu Shen, Junchao Yang. Infrared small target detection using reinforced MSER-induced saliency measure. Infrared Physics & Technology, 2023,133, 1048291.

[24] Li Yongsong, Li Zhengzhou, Shen Yu, Li Jie. Infrared Small Target Detection Based on 1-D Difference of Guided Filtering. IEEE Geoscience and Remote Sensing Letters, 2023, Vol. 20, 7000105

[23]邓稼麒,李正周#, 党楚佳,陈文豪,秦天奇. 基于海面场景感知的雷达目标检测方法. 中国电子科学研究院学报,2023,18(2):129-137.

[22] Chujia Dang, Zhengzhou Li#, Congyu Hao, Qin Xiao .Infrared Small Marine Target Detection Based on Spatiotemporal Dynamics Analysis. Remote Sensing, 2023, 15, 1258.

[21] Bitong Xu, Zhengzhou Li#, Bei Cheng, Yuxin Yang, Abubakar Siddique. A Target Imaging and Recognition Method Based on Raptor Vision. Remote Sensing, 2023, 15, 2106.

[20] Li Yongsong,Zhengzhou Li#, Shen Yu, Li Jie. Infrared Small Target Detection Based on 1-D Difference of Guided Filtering. IEEE Geoscience and Remote Sensing Letters, 2023,. 20, 7000105

[19]Yongsong Li, Zhengzhou Li#, Weite Li, Yuchuan Liu. Infrared Small Target Detection Based on Gradient Intensity Joint Saliency Measure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, VOL. 15, 7687-7699.

[18] Yongsong Li, Zhengzhou Li# Bo Liu, Yuchuan Liu. Effective and robust infrared small target detection based on directional improved structure tensor. Infrared Physics & Technology, 127 (2022) 104420.

[17]朱勇,肖沁,李正周,刘国金,秦天奇. 基于海面场景感知的红外小目标检测方法. 光子学报, 2022, 51(12): 1210002

[16] Yongsong Li, Zhengzhou Li#, Yu Shen, Zhiwe Guo. Infrared Small Target Detection Via Center-surround Gray Difference Measure with Local Image Block Analysis. IEEE Transactions on Aerospace and Electronic systems, 2022, VOL. 19.

[15]Zefeng Luo, Zhengzhou Li#, Chao Zhang, Jiaqi Deng, Tianqi Qin. Low Observable Radar Target Detection Method within Sea Clutter Based on Correlation Estimation. Remote Sensing, 2022, 14, 2233.

[14]Chao Zhang,Zhengzhou Li#, Yong Zhu, Zefeng Luo, Tianqi Qin. Improved GM-PHD Filter with Birth Intensity and Spawned Intensity Estimation Based on Trajectory Situation Feedback Control. Remote Sensing,2022, 14, 1683. 

[13]Bei Cheng, Zhengzhou Li#, Bitong Xu, Chujia Dang, Jiaqi Deng. Target Detection in Remote Sensing Image Based on Object-and-Scene Context Constrained CNN. IEEE Geoscience and Remote Sensing Letters, 2022, VOL. 19.

[12]Yongsong Li, Zhengzhou Li#, Bitong Xu, Chujia Dang, Jiaqi Deng. Low-Contrast Infrared Target Detection Based on Multiscale Dual Morphological Reconstruction. IEEE Geoscience and Remote Sensing Letters, 2022, VOL. 19

[11]Bei Cheng, Zhengzhou Li#,, Hui Li,Tianqi Qin, Zhiquan Ding. Semi-autonomous learning algorithm for remote image object detection based on aggregation area instance refinement. Remote Sensing, 2021, 13, 5065

[10]Bei Cheng, Zhengzhou Li#, Bitong Xu, et al. Structured Object-Level Relational Reasoning CNN­_Based Target Detection Algorithm in a Remote Sensing Image. Remote Sensing, 2021, 13(2):281.

[9] Lin Li, Guojin Liu, Zhengzhou Li, et al. Infrared ship detection based on time fluctuation feature and space structure feature in sun-glint scene. Infrared Physics & Technology, 2021, Vol. 115, 103693

[8]Yongsong Li, Zhengzhou Li#, et al. Infrared Maritime Dim Small Target Detection Based on Spatiotemporal Cues and Directional Morphological Filtering. Infrared Physics & Technology, 2021, 115 (2021) 103657.

[7]Zhengzhou Li#, Qingqing Wu, Bei Cheng, et al. Remote sensing image scene classification based on object relationship reasoning CNN. IEEE Geoscience and Remote Sensing Letters, 2020.

[6]李正周#,卿琳,李博. 基于稀疏先验的空间目标图像盲反演方法.光子学报,2020, 49(2), 0210001.

[5]刘晓,崔光照,李正周#,等.基于视觉系统分层的小目标运动检测.光学精密工程,2019,27(10):2251-2262.

[4]Li Zhengzhou#, Chen Cheng, Liu Depeng, et al. Infrared Small Target Tracking Algorithm Based on Temporal-spatial Structure Sparse Bayesian Estimation. Infrared Physics & Technology, 2020, Vol.105, 103160

[3] Lin Li, Zhengzhou Li#, Yongsong Li, et al. Small Infrared Target Detection Based on Local Difference Adaptive Measure. IEEE Geoscience and Remote Sensing Letters, 2020, 17(7): 1258-1262. 

[2] 刘德鹏,李正周#,曾靖杰,等.基于局部对比度和梯度一致性的红外小目标检测算法. 兵工学报,2018,39(8):1526-1535.

[1] Liu Depeng, Cao Lei, Li Zhengzhou#, et al. Small Target Detection in Complex Background Based on Local Coherence Weighted Multi-scale Flux Measure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(7):2528-2554.