厉小润 - 浙江大学 - 电气工程学院

个人简介

教育背景 2002.09–2008.03博士生,浙江大学电气工程学院,获控制理论与控制工程专业工学博士学位 1992.09–1995.06硕士生,浙江大学电机系,获电气自动化专业工学硕士学位 1988.09–1992.06本科生,国防科技大学自动控制系,获自动控制专业工学学士学位工作经历 2012.12–至今研究员,博士生导师,浙江大学电气工程学院 2004.12–2012.12副教授,浙江大学电气工程学院 2005.07–2007.08挂职市长助理，浙江省余姚市 1997.03–2004.12讲师,浙江大学电气工程学院 1995.03–1997.03助教,浙江大学电机系近年来主持的研究课题电力电缆质量快速电子检测设备的研发，横向项目（KM20180179），2018/07-2019/12 无人机检测系统，横向项目（KH20170574），2017/10-2019/10 多传感器融合数据处理技术，863项目（KM20170143）,2017/07-2017/12 高光谱图像与高空间分辨率图像亚像素配准关键技术研究,国家自然科学基金(61671408),2017/01-2020/12 面向特定目标的星上高光谱数据快速筛选技术,教育部联合基金（6141A02022314),2016/01-2017/12 后勤智能柜优化高级服务，横向项目（KH20170103），2016/07-2017/11 高光谱遥感图像亚像元小目标检测技术研究，上海航天科技创新基金项目（SAST2015033），2015/09-2017/08 架空输电线路综合状态评价，横向项目(H20151477)，2015/08-2016/03 海量高光谱遥感数据的快速光谱解混技术研究，浙江省自然科学基金重点资助项目（LZ14F030004），2014/01-2017/12 图像超分辨处理技术，863项目(E20130011)，2012/07-2016/06 非监督的高光谱图像非线性解混理论研究，国家自然科学基金面上项目（61171152），2012/01-2015/12 亚像元目标检测技术，教育部支撑计划项目(625010216),2011/01-2013/12 专利黄珍，赵辽英，厉小润，张文强.一种基于关键波段提取的高光谱图像波段选择方法及装置,ZL201710009535.9 厉小润，杨平.一种基于视频检测技术的车辆违法变道检测方法:中国,CN201210226419.X. 胡光福，厉小润.操动机构分闸线圈断路检测电路及其检测方法:中国,CN201210472536.4. 厉小润，窦亚星.一种可编辑的多级音色合成系统及方法:中国,CN201710393145.6. 厉小润，窦亚星.一种多音色混合的智能演奏系统和方法:中国,CN201610575710.6. 厉小润，窦亚星.一种钢琴自助调音系统及调音方法:中国,CN201610631680.6. 教学与课程计算机控制技术实验室介绍实验室主要研究领域为图像处理与模式识别、嵌入式控制与信息系统。目前实验室有教授2名，工程师4名，博士和硕士研究生17名。实验室先后承担了国家自然科学基金、863项目、高分重大专项、教育部支撑技术项目、教育部联合基金、省重大专项、省自然科学基金重点基金等国家、省部级科研项目20多项，企业合作项目40余项。结合科研发表EI&SCI论文60多篇，获省部级二等奖2项，三等奖1项，授权国家发明专利近10项。

近期论文

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国际期刊 Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, “A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis” IEEE Geoscience and Remote Sensing Letters, 2018，PP (99) :1-5. Wenqiang Zhang, Xiaorun Li, Yaxing Dou, Liaoying Zhao, “A Geometry –based Band Selection Approach for Hyperspectral Image Analysis”,IEEE Transactions on Geoscience and Remote Sensing, 2018 , PP (99) :1-16. Risheng Huang, Xiaorun Li, Liaoying Zhao, “Hyperspectral Unmixing Based on Incremental Kernel Nonnegative Matrix Factorization”, IEEE Transactions on Geoscience and Remote Sensing, 2018, PP(99) :1-18. Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, “Band Priority Index: A Feature Selection Framework for Hyperspectral Imagery”, Remote Sensing, 2018， 10(7), 1095. Wenqiang Zhang, Xiaorun Li, Yaxing Dou, Liaoying Zhao, “Fast linear-prediction-based band selection method for hyperspectral image analysis” J. Appl. Remote Sens. , 2018，12(1), 016027. Shuhan Chen, Xiaorun Li, Han Yang, Liaoying Zhao, 'Robust local feature descriptor for multisource remote sensing image registration,' 2018, J. Appl. Remote Sens. 12(1), 015005. Shuhan Chen, Xiaorun Li, Liaoying Zhao, Han Yang, “Medium-low resolution multisource remote sensing image registration based on SIFT and robust regional mutual information”, International Journal of Remote Sensing, 2018, 39(10): 3215-3242. Zhao Liaoying，Lin Weijun,Wang Yulei, Li Xiaorun, “Recursive local summation of RX detection for hyperspectral image using sliding windows”, Remote Sensing, 2018, 10(1):103. Huang Risheng, Li Xiaorun, Zhao Liaoying, “Nonnegative matrix factorization with data-guided constraints for hyperspectral unmixing”, Remote Sensing, 2017, 9(10), 1074. Li Jing, Li Xiaorun, Zhao Liaoying, “Unmixing of large-scale hyperspectral data based on projected mini-batch gradient descent”, International Journal of Wavelets, Multiresolution and Information Processing, 2017 ,15(6):1750059 Chen Shuhan, Li Xiaorun, Zhao Liaoying, “Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization”, Journal of Electrical and Computer Engineering, v 2017, 2017:1-7 Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, 'Hyperspectral band selection based on triangular factorization,' J. Appl. Remote Sens. ,2017,11(2), 025007 Jing Li, Xiaorun Li, Bormin Huang, Liaoying Zhao, “Hopfield Neural Network Approach for Supervised Nonlinear Spectral Unmixing”, IEEE Geoscience and Remote Sensing Letters, 2016, 13(7):1002-1006 Jing Li, Xiaorun Li, Liaoying Zhao., “Fast implementation of a kernel simplex volume analysis based on the modified Cholesky factorization for endmember extraction”，Frontiers of Information Technology & Electronic Engineering，2016，17(3), 250-257 Jing Li, Xiaorun Li, Liaoying Zhao, “Nonlinear hyperspectral unmixing based on sparse non-negative matrix factorization”, J. Appl. Remote Sens., 2016, 10 (1), 015003 Liaoying Zhao,Mingyang Fan，Xiaorun Li，Lijiao Wang, “ Fast Implementation of Linear and Nonlinear Simplex Growing Algorithm for Hyperspectral Endmember Extraction”, Optik,2015，126，4072-4077 Cui Jiaotao, Li Xiaorun, Zhao Liaoying, “ Nonlinear Spectral Mixture Analysis by Determinging Per-pixel Endmember Sets”, IEEE Geoscience and Remote Sensing Letters, 2014, 11(8): 1404-1408. Li Xiaorun, Cui Jiantao, Zhao Liaoying, “Blind Nonlinear Hyperspectral Unmixing Based on Constrained Kernel Nonnegative Matrix Factorization”, Signal, Image and Video Processing, 2014 , 8 (8) :1555-1567 Zhao Liaoying, Zheng Junpeng, Li Xiaorun,Wang Lijiao, “Kernel simplex growing algorithm for hyperspectral endmember extraction”, Journal of Applied Remote Sensing, 2014, Vol.8, 083594-1-15. Zhao Liaoying, Zheng Junpeng, Li Xiaorun, Zhou Yang, “Band Selection for Hyperspectral Images Based on SNR Estimation and Information Measure Index”, Journal of Computational Information system, 2013, 9(23), pp 9573-9582 Cui Jiantao, Li Xiaorun, Zhao Liaoying, “ Linear Mixture Analysis for Hyperspectral Imagery in the Presence of Less Prevalent Materials”，IEEE Transactions on Geosicence and Remote Sensing,2013, 51(7), pp 4019-4031 Li Xiaorun, Zhao Liaoying, Zhao Guangzhou, “ Sliding model control of synchronization of chaotic systems with structure or Parameters mismatching”，Journal of Zhejiang University Science, 2005, 6A(6): 571-576. 国际会议 Yang Han, Li Xiaorun, A band selection method for high precision registration of hyperspectral image, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS , Beijing, China, 2018.5.9-2018.5.12, 42(3): 2067-2071. Chen S, Li X, Zhao L. A novel local order pattern based self-similarity descriptor for multisource remote sensing image registration, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.5153-5156, Fort Worth,Texas,USA, 2017.7.23-2017.7.28 Li J, Li X, Zhao L. Hyperspectral Unmixing via Projected Mini-batch Gradient Descent,2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1133-1136, Fort Worth,Texas,USA, 2017.7.23-2017.7.28 Huang R, Li X, Zhao L. Nonnegative Matrix Factorization with Data-guided Constraint, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 590-593, Fort Worth,Texas,USA, 2017.7.23-2017.7.28 Jiao H, Huang R, Li X, Zhao L. A Novel Bayesian Lasso Model Based on Spatial-correlated Sparsity for Semisupervised Hperspectral Unmixing, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.5433-5437 ,Fort Worth,Texas,USA, 2017.7.23-2017.7.28 Chen S, Li X, Zhao L. Multi-source remote sensing image registration based on sift and optimization of local self-similarity mutual information, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp2548-2551, Beijing, China, 2016.7.10-2016.7.15 Huang R, Li X, Zhao L. Incremental kernel non-negative matrix factorization for hyperspectral unmixing, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp:6569-6572, Beijing, China, 2016.7.10-2016.7.15 . Li J, Li X, Zhao L. Unsupervised nonlinear hyperspectral unmixing based on the generalized bilinear model, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp:6553-6556, Beijing, China, 2016.7.10 -2016. 7.15 Zhang W, Li X, Zhao L. An advanced hyperspectral band selection approach based on mutual information, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp:2703-2706, Beijing, China, 2016.7.10-2016.7.15 . Ruimin Li, Liaoying Zhao, Xiaorun Li, Band selection for hyperspecral imagery based on particle swarm optimization，The 2015 8th International Congress on Image and Signal Processing，Shenyang, P.R. China，2015.10.14-2015.10.18 Buyun Lv, Liaoying Zhao, Xiaorun Li, Remote sensing image registration using SIFT and vegetation index analysis，The 2014 7th International Congress on Image and Signal Processing ，Dalian, P.R. China，2014.10.22-2014.10.25 Zheng Junpeng，Zhao Liaoying，Li XIaourn，GPU-based acceleration of the hyperspectral band selection by SNR estimation using wavelet transform，2014 SPIE Proc on Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V，Beijing，P.R. China，2014.10.14-1014.10.16 Zhou X, Li X, Cui J, et al. A fast fully constrained geometric unmixing of hyperspectral images, SPIE Asia Pacific Remote Sensing. International Society for Optics and Photonics, 2014: 92631Z-92631Z-7 Cui Jianotao, Li Xiaorun, Zhao Liaoying, Nonlinear hyperspectral unmixing based on constrained multiple kernel NMF, Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 2014, 91240N-1-6. Li Jing, Li Xiaorun, Zhao Liaoying, Manifold regularized sparsity model for hyperspectral target detection, Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 2014, 912418-1-9. Yang Zhou, Xiaorun Li, Jiantao Cui. High-efficiency hyperspectral unmixing based on band selection，3rd Global Congress on Intelligent Systems, GCIS 2012, p:140-143, 2012 Ting Yu, Xiaorun Li. Remote Sensing Image Registration Based on VTS-PCMIC Algorithm, Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference, 2012, Vol.1: 48 - 52 Zhao Liaoying, Shen Yinhe, Li Xiaorun. Kernel Oblique Subspace Projection Approach for Target Detection in Hyperspectral Imagery, WISM-AICI2009 Sanya, China, Artificial Intelligence and Computational Intelligence, LNAI 6319,422-431,ISBN:978-3-642-16529-0, 2010,10. Xiaoming Wu, Xiaorun Li, Liaoying Zhao. A kernel spatial complexity-based nonlinear unmixing method of hyperspectral imagery. International Conference on Life System Modeling and Simulation, 2010, 3(3): 451-458. Jiantao Cui, Xiaorun Li. Unsupervised Hyperspectral Unmixing Based on Constrained Nonnegaive Matrix factorization and Particle Swarm Optimization. Second WRI Global Congress on Intelligent Systems, 2010,Volume 3, 376-380. Zhao Liaoying, Zhang Kai. A New Least Squares Subspace Projection Approach to Unmix Hyperspectral Data, GCIS2009), Xiamen, China, Global Congress on Intelligent Systems， ISBN:978-0-7695-3571-5, 2009,5, vol.4, 350-354. Zhao Liaoying, Lu Yali, Li Xiaorun, Zhang Kai. A New Scheme for Decomposition of Mixed Pixels Based on Nonnegative Matrix Factorization and Genetic-Algorithm, WISM-AICI2009, Shanghai, China, Artificial Intelligence and Computational Intelligence, ISBN:978-0-7695-3816-7, 2009,11, vol.3, 457-461. 国内期刊赵辽英，林伟俊，王玉磊，厉小润. 基于滑动阵列的高光谱图像非因果实时RXD检测. 光子学报, 2018,47(7):0710001. 杨韩,厉小润,赵辽英,陈淑涵.一种高光谱图像高精度配准波段选择方法.光学学报:1-14[2018-07-29] 窦亚星,厉小润,赵辽英.钢琴音源库生成系统设计.工业控制计算机,2018,31(06):37-38+41. 王森,厉小润.基于贝叶斯理论的高压断路器故障诊断算法.工业控制计算机,2018,31(04):147-148+151. 吕鹏程,厉小润.基于AD-census和多权值的自适应窗口的立体匹配算法.工业控制计算机,2018,31(03):49-52. 钱哲琦，赵辽英,厉小润.一种改进的高光谱图像最小噪声波段选择方法. 杭电学报, 2018, 38(1)：49-53. 林伟俊，赵辽英，厉小润.基于逐像素递归处理的高光谱实时亚像元目标检测. 计算机科学, 2018,45(6):259-264. 邹佳林,赵辽英,厉小润,陈小芬. 基于CUDA的单形体增长并行端元提取. 计算机工程与设计,2017,(11):3179-3184. 赵辽英, 陈小芬, 厉小润. 变化向量分析结合光谱解混的高光谱变化检测. 浙江大学学报(工学版), 2017 , 51(10):1912-1919 陈亚妮,厉小润. 空域特征结合小波域特征的图像多失真质量评价. 工业控制计算机,2017,30(01):84-86. 赵辽英，范明阳，厉小润，陈辰.基于目标优化的高光谱图像亚像元定位，中国图形图象学报，2016，21（6）：823-833 周昕，厉小润，赵辽英. 基于波段处理的高光谱图像实时目标检测.工业控制计算机，2015， 28（6）：42-44 赵辽英, 吕步云, 厉小润，陈淑涵. 基于SIFT和区域互信息优化的多源遥感图像配准. 物理学报, 2015, 64(12):124204. 崔建涛，厉小润，赵辽英. 基于核部分非负矩阵分解的亚像元级地物光谱分析.中国空间科学技术, 2014年8月，第4期， 46-53. 王晶, 王丽姣, 崔建涛, 厉小润. 基于信噪比估计的波段选择与高光谱异常检测. 遥感技术与应用, 2015, 30(2):292-297. 王丽姣, 厉小润, 赵辽英. 快速实现基于单形体体积生长的端元提取算法. 光学学报, 2014, 34(11): 1128001. 赵辽英，李富杰，厉小润. 泛化改进的局部切空间排列算法与人脸识别.计算机工程, 2014,40(11):160-166. 崔建涛,王晶,厉小润,赵辽英. 基于空间像素纯度指数的端元提取算法.浙江大学学报(工学版),47( 09), pp1524-1530+1565, 2013/9/15 . 厉小润,朱洁尔,王晶,赵辽英. 组合核支持向量机高光谱图像分类.浙江大学学报(工学版), 2013，47（08）：1403-1410. 周杨,厉小润,赵辽英. 改进的高光谱图像线性预测波段选择算法.光学学报，2013， 33 (8) : 0828002 崔建涛，厉小润，赵辽英. 高光谱图像亚像元级地物端元提取方法.浙大大学学报（工学报），2012, 46（10）：1857-1865 赵辽英，马启良，厉小润. 基于HIS-小波变换和MOPSO的全色与多光谱图像融合.物理学报，2012,61（19）：194204 王静雷；厉小润，基于Kmeans和图像熵聚类的热红外目标检测算法.机电工程， 12期， pp 1490-1493， 2012. 赵辽英，沈银河，厉小润，崔建涛. 基于数学形态学的组合核信号空间正交投影法.，光学学报，2011,3(12):1228003 赵辽英，张凯，厉小润. 高光谱图像目标检测的核信号空间正交投影法. 遥感学报，2011，15（1）：13-28. 厉小润，伍小明，赵辽英. 一种非监督的高光谱混合像元非线性分解方法. 浙江大学学报（工学版），2011，45（4）：607-613. 肖雄斌，厉小润, 赵辽英. 基于最小噪声分离变换的高光谱图像异常检测方法研究. 计算机应用与软件，2012，29（4）：125-128. 张凯，赵辽英，厉小润. 基于约束线性判别分析的非监督高光谱影像分类方法.机电工程，2009.8，ISSN 1001-4551, 26(8):41-44 赵辽英，赵光宙，厉小润. 基于非线性反馈控制的超混沌系统同步方法.浙江大学学报(工学版)，2004，38(5):544-548 赵辽英，赵光宙，厉小润. 基于Riccati方程的混沌同步方法及在保密通信中的应用.电路与系统学报，2005，10（5）赵辽英，厉小润，赵光宙. 用细胞神经网络超混沌同步系统实现保密通信.电路与系统学报.2003，8(3):41-45 厉小润，赵辽英，赵光宙。一种具有结构或参数失配的混沌保密通信系统.电路与系统学报，2003，8(4):25-29 厉小润，赵辽英，赵光宙。基于状态观测器的超混沌保密通信系统.系统工程与电子技术，2003， 25(9):1116-1118. 厉小润，赵辽英，赵光宙。参数不确定混沌系统的自适应同步.浙江大学学报(工学版)，2005， 39(12):1993-1997. 赵辽英，厉小润，赵光宙. 基于径向基函数网络估计密度函数的数据分类. 浙大学报工学版, ISSN1008-973X, 2007.7, 41(7): 1088-1092. 厉小润，赵光宙，赵辽英. 改进的核直接Fisher描述分析及人脸识别. 浙大学报工学版，ISSN1008-973X, 2008.4, 42(4): 583-589. 厉小润，赵光宙，赵辽英. 决策树支持向量机多分类器设计的向量投影法. 控制与决策, 2008.6, ISSN 1001-0920, 23(7): 745-750. 厉小润，赵光宙，赵辽英. 约束线性描述分析与人脸识别. 系统仿真学报, ISSN 1004-731X, 2008.9, 20(18): 4937-4940.