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；美国哈佛老员工物医学工程博士后。

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，培养电路与系统专业博士研究生，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、雷达信号处理、光电成像信号处理、微弱目标识别与跟踪，多源信息智能处理，以及高速实时信号处理系统等研究。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bat365中文官方网站研究任务、科技委创新科技项目、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90余篇，其中70余篇被SCI/EI检索。获省部科技进步一等奖1项。

目标探测与装备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、科研院所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：

[17]光电成像探测器研制.装备发展部,2020-2022,主持；

[16]多孔径成像目标提取技术研究.中国科学院光电技术研究所,2020-2021,主持；

[15]宽波段目标检测技术.中国科学院光电技术研究所,2019-2021,主持；

[14]光电成像技术.科技委,2019-2020,主持；

[13]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；

[12]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；

[11]光学制导信息处理新技术.装备发展部,2018-2019,主持；

[10]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；

[9]探测传感器技术研究.科技委,2017-2018,主持； 

[8]基于特征群概率密度假设滤波的目标跟踪.中国科学院光电技术研究所,2017-2019,主持；

[7]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；

[6]基于空时结构稀疏学习的微弱空间目标联合检测跟踪研究,重庆市自然科学基金, CSTC2016JCYJA0193,2016-2019,主持;

[5]连续波雷达数据处理算法与软件开发.中国人民解放军63821部队, 2015-2016,主持；

[4]基于海杂波空时混沌特性的光学小弱目标信号检测技术.中国博士后基金,2014M550455,2014-2015,主持；

[3]红外海面小弱目标检测技术研究.中国科学院光电技术研究所,2014-2016,主持；

[2]深空弱小目标探测技术研究.重庆市自然科学基金,CSTC2011BB2048,2011-2014,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：

[26] 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,VOL. 20, 7000105

[25]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.

[24] 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.

[23]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

[22] 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.

[21]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.

[20]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.  

[19]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.

[18]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

[17]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

[16]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.

[15] 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

[14]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.

[13]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.

[12]Yongsong Li, Zhengzhou Li#, Zhiquan Ding, et al. Automatic Infrared Ship Target Segmentation Based on Structure Tensor and Maximum Histogram Entropy. IEEE Access, 2020, Vol. 8, 44798-44820.

[11]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.

[10]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.

[9] Yongsong Li, Zhengzhou Li#, Yong Zhu, et al .Thermal Infrared Small Ship Detection in Sea Clutter Based on Morphological Reconstruction and Multi-Feature Analysis. Applied Sciences, 2019, 9, 3786

[8]Bei Cheng, Zhengzhou Li#, Qingqing Wu, et al. Multi-class objects detection method in remote sensing image based on direct feedback control for convolutional neural network. IEEE Access, 2019, Vol.7: 144691-144709.

[7] 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

[6] 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. 

[5] Yongsong Li, Zhengzhou Li#, Kai Wei, et al. Noise Estimation for Image Sensor Based on Local Entropy and Median Absolute Deviation. Sensors, 2019, 19(2), 339.

[4] 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.

[3] 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.

[2] 李正周#,曹雷,邵万兴,等.基于空时混沌波动分析的海面光学小目标检测.光学精密工程,2018,26(1):193-199.

[1] Depeng Liu, Zhengzhou Li#, Bing Liu, et al .Infrared Small Target Detection in Heavy Sky Scene Clutter Based on Sparse Representation. Infrared Physics & Technology, 2017, 85: 13-31.