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，主要从事雷达系统、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、部委公司研究任务、科技委创新科技项目和领域基金、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，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 Systems, Optical Engineering, Journal of Infrared, Millimeter and Terahertz Waves ，《电子与信息学报》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。获部委科技进步一等奖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。

近五年主要发表论文：

[24]Bei Cheng, Zhengzhou Li i#, 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, accepted.

[23] Yongsong Li, Zhengzhou Li i#, Bitong Xu, Chujia Dang, Jiaqi Deng. Low-contrast Infrared Target Detection Based on Multi-scale Dual Morphological Reconstruction. IEEE Geoscience and Remote Sensing Letters, accepted.

[22] 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.

[21] 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

[20]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.

[19] 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.

[18] 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.

[17] 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.

[16] 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.

[15] 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

[14]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.

[13] 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

[12] 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. 

[11] 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.

[10] 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.

[9] 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.

[8] 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.

[7] 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.

[6] Li Zhengzhou#, Ge Fengzeng, Chen Wenhao,et al. Particle Filter-Based Relative Rolling Estimation Algorithm for Non-cooperative Infrared Spacecraft. Infrared Physics & Technology, 2016, 78, 58-65.

[5] Zhengzhou Li#, Jianing Li, Fengzeng Ge, et al. Dim Moving Target Tracking Algorithm Based on Particle Discriminate Sparse Representation. Infrared Physics & Technology, 2016, 75,100-106.

[4]李正周#,付红霞,李家宁,等. 粒子区别性稀疏表征的小弱运动目标跟踪算法. 强激光与粒子束,2016,28(2), 021001.

[3]李正周#,侯倩,付红霞,等. 基于空时联合稀疏估计的小弱目标检测方法.强激光与粒子束,2015,27(9) ,091004.

[2]李正周#, 侯倩,戴真, 等.基于空时稀疏表示的小弱运动目标检测算法.兵工学报,2015,36(7):1273-1279.

[1] Zhengzhou Li#, Qian Hou, Hongxia Fu, et ak. Infrared Small Moving Target Detection Algorithm Based on Joint Spatio-temporal Sparse Recovery. Infrared Physics & Technology, 2015, 69, 44-52.