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基本信息 The basic information
姓名: 赵永强

学院: 自动化学院


学历: 博士研究生毕业

学位: 工学博士


职称: 教授

职务:


学科: 控制科学与工程





教育教学 Education And Teaching
《信息论》，本科生专业课
《数字图像处理》，本科生专业课
《光学遥感数据采集与处理》，本科生专业课
《Detection and Estimation Theory》，外籍留学生课程
《现代图像处理理论进展》，硕士、博士生课程
《光学遥感信号处理进展》，硕士、博士生课程





招生信息 Admission Information


博士生: 杨劲翔，孔祥阳，郝静蕾，Mohamed Reda，益 琛，汤超龙，薛吉则，陈露露，王秉路，冯凯，卜远洋，申凌浩，郭阳，姚嘉昕，姚乃夫，张勋，严浩方


硕士生：彭群聂，刘吾腾，张燕，董欣明，薛吉则，孙进军，平茜茜，王苗苗，申凌浩，裴亚補，Messay Kabew，Muhammad Ahsan，李磊磊，陈家新，汪德堂，


鼓励从所招收的硕士生中推荐选拔硕博连读，每年将选派博生到比利时根特大学、美国华盛顿大学圣路易斯分校、加拿大麦克马斯特大学、比利时布鲁塞尔自由大学、香港理工大学做博士论文或联合培养。







荣誉获奖 Awards Information



2017年 陕西省科学技术进步一等奖
2014年 陕西省科学技术进步二等奖
2010年 陕西省科学技术进步二等奖
2003年 国防科工委科技进步二等奖
2012年 入选教育部“新世纪优秀人才支持计划”





科学研究 Scientific Research
科研方向:
图像处理，机器视觉，人工智能，边缘计算，偏振成像，高光谱遥感，光电探测等


[1] 仿生视觉
全光场视觉能够准确的获取不同干扰环境下非合作目标的各种信息，是机器视觉领域一个新的研究方向。主要开展高速、高分辨微纳光栅阵列成像、仿生光谱视觉、仿生多波段偏振视觉、目标表面参数测量等方面的工作。
[2] 智能图像重构
通过图像处理来获取高空间、光谱以及偏振分辨率的是光学遥感发展的重要方向之一，同时也对传统图像重构理论产生了全新的挑战。主要开展偏振光谱成像联合稀疏采样、图像超分辨重构、计算成像、多目标联合优化等方面的研究。
[3] 多波段光电探测系统
主要开展可见光、红外、多光谱、偏振图像目标检测、跟踪、识别等方向开展研究工作，结合工程实际设计不同的成像系统。


科研项目:


[1] 国家自然科学基金 (NSFC：**), “基于光栅阵列和深度学习的偏振光谱成像理论研究”. 1/2018—12/2021(负责人)
[2] 国家自然科学基金委员会与韩国国家研究基金会联合资助合作交流项目（NSFC- NRF: ），“基于微纳滤光片级联阵列的多波段偏振成像理论研究”.7/2015 — 6/2017(负责人)
[3] 国家自然科学基金 (NSFC：**), “用于压缩偏振光谱成像的联合稀疏采样理论研究”. 1/2014 —12/2017(负责人)
[4] 国家自然科学基金 (NSFC：**), “仿生多波段偏振视觉感知模型研究”. 1/2011 —12/2013(负责人)
[5] 国家自然科学基金 (NSFC：**), “基于多尺度分析的成像光谱偏振探测信息综合及应用”. 1/2007 —12/2009(负责人)










学术成果 Academic Achievements
专著：
[1]赵永强，潘泉，程咏梅. 成像偏振光谱遥感及应用.国防工业出版社(国防科技图书出版基金资助).2011年5月. （书中所涉及的部分数据下载：多光谱偏振融合数据、偏振光谱图像测和分类数据、偏振二向反射数据1、偏振二向反射数据2）
[2] Yongqiang Zhao, Quan Pan,S.G.Kong, Chen Yi, Yongmei Cheng. Multi-band Optical Polarization Imaging and Application. Springer.2016.(PDF)
期刊论文（论文部分代码查看http://github.com/polwork/）:
[1] X. Kong, Y.Zhao, J. Xue, J.C-W Chan.Destripe of Hyperspectral Images by Global and Local Tensor Sparse Approximation Model. Submitted.
[2]J. Hao,Y.Zhao,J.C-W Chan, S.G. Kong.A Design of Micro-polarizer Array for High-precision Polarization Imaging. Submitted.
[3]Y.Zhao,M. Wang, and J.C-W Chan.Hyperspectral Snapshot Imaging via Spectral-Filter Array 3D Residual Demosaicking Network. Submitted.
[4]M.Reda, Y.Zhaoand J.C-W Chan. Matching enhancement using polarization and depth information.Submitted.
[5]L. Shen, M. Reda,Y.Zhao, Image Enhancement of Shadow Region Based on Polarization Imaging,Submitted.
[6]L. Chen, Y. Zhao, S.G. Kong, et al. A large-scale Hyperspectral videos dataset and spatial-spectral feature-based tracking benchmark,Submitted.
[7]Y. Zhao, M. Reda, S.G. Kong, et al. Detecting GCTB Lesions using Mueller Matrix Polarization Microscopic Imaging and Multi-parameters Fusion Network, Submitted.
[8]X. Kong, Y.Zhao, J. Xue, J.C-W Chan.Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation. Remote Sensing. 2019.
[9]J.Xue,Y.Zhao, W.Liao et al. Nonconvex tensor rank minimization and its applications to tensor recovery.Information Sciences.2019. 503 (2019) 109–128.
[10]J.Xue,Y.Zhao, W.Liao et al.Hyper-Laplacian Regularized Nonlocal Low-rank Matrix Recovery for Hyperspectral Image Compressive Sensing Reconstruction. Information Sciences.2019.501 (2019) 406–420
[11]C.Yi,Y.Zhao,J.W. Chan. Spectral super-resolution for multispectral image based on spectral improvement strategy and spatial preservation strategy.IEEE Trans. Geoscience and RemoteSensing.2019.
[12]J. Yang,Y.Zhao,J.C-W Chan, Multi-Scale Wavelet 3D-CNN Based Hyperspectral Image Super-Resolution. Remote Sensing.2019.
[13]J. Xue,Y.Zhao,W. Liao, J.C-W Chan. Nonlocal Low-rank Regularized Tensor Decomposition for Hyperspectral Image Denoising, IEEE Trans. Geoscience and RemoteSensing.2019. 57(7):5174- 5189.
[14]J. Xue, Y.Zhao,W. Liao, J.C-W Chan.Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction.Remote Sensing.2019,11(2).
[15]N.Li, Y.Zhao, Q. Pan, S.G.Kong, Demosaicking DoFP Images Using Newton's Polynomial Interpolation and Polarization Difference Model. Optical Express, 27(2):1376-1391, 2019.
[16]J.Xue,Y.Zhaoand W.Liao et al. Total Variation and Rank-1 Constraint RPCA for Background Subtraction. IEEE Access.6:49955- 49966, 2018
[17]L. Shen, Y.Zhao,Q.Peng, J.C-W Chan, S.G.Kong.An Iterative Image Dehazing Method WithPolarization. IEEE Trans. On Multimedia. 2019.
[18]N. Li, Y.Zhao,Q. Pan, S.G.Kong.Removal of reflections in LWIR image with polarization characteristics.Optical Express.26(13):16488-16504, 2018.
[19]J.Yang, Y.Zhao,J.C.-W.Chan. Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network.Remote Sensing, 10(5):800-812.2018.
[20]C.Yi,Y.Zhao,J.W. Chan. Hyperspectral image super-resolution based on spatial and spectral correlation fusion.IEEE Trans. Geoscience and RemoteSensing.65(7):4165 - 4177, 2018.
[21]Y.Zhao,M.Wang,J.W. Chan. FOV Expansion of Bioinspired Multiband Polarimetric Imagers With Convolutional Neural Networks. IEEE Photonics Journal.10(1):1-10, 2018.
[22]J.Xue, Y.Zhao, W.Liao, and S.G. Kong.Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising.IEEE Trans. Geoscience and RemoteSensing.56(4):1940 - 1958, 2018.
[23]L.Li, Y.Zhao, J.Sun, et. al. Deformable Dictionary Learning for SAR Image Change Detection. IEEE Trans. Geoscience and RemoteSensing.56(8): 4605 - 4617, 2018.
[24]X. Ping, Y. Liu, Y.Zhaoet al. 3-D reconstruction of textureless and high-reflective target by polarizationand binocular stereo vision. Journal of Infrared and Millimeter Waves,36(4):432-438, 2017.
[25]M.Reda, Y.Zhaoand J.C-W Chan. Polarization guided autoregressive model for depth recovery. IEEE Photonics Journal.9(3):1-10, 2017.
[26]J.Yang, Y.Zhao,J.C-W Chan. Learning and Transferring Deep Joint Spectral-Spatial Feature for Hyperspectral Classification.IEEE Trans. Geoscience and RemoteSensing.55(8):4729 - 4742, 2017.
[27]J.Yang, Y.Zhao, C.Yi and J.C-W Chan. No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning. Remote Sensing.2017.
[28]C.Yi, Y.Zhao, J.Yang, J.C-W Chan, and Seong G. Kong, Joint Hyperspectral Superresolution and Unmixing With Interactive Feedback. IEEE Trans. Geoscience and RemoteSensing.55(7):3823 - 3834, 2017.
[29]J.Yang, Y.Zhao, J. C-W Chanand S.G.Kong. Coupled Sparse Denoising and Unmixing with Low Rank Constraint for Hyperspectral Image. IEEE Trans. Geoscience and Remote Sensing.54(3):1818 - 1833,2016.
[30]J.Wen, J.E. Fowler, M.He, Y.Zhao, C.Deng, and V.Menon. Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Hyerspectral Image Spectral-Spatial Dimension Reduction.IEEE Trans. Geoscience and Remote Sensing. 54(7):4272 - 4286, 2016.
[31]Y.Zhao, Q.Peng, C.Yi and S.G. Kong. Multi-band Polarization Imaging. Journal of Sensors. 2016.
[32]Y.Zhao, J.Yang. Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint. IEEE Trans. on Geoscience and Remote Sensing, 53(1):296-308, 2015.
[33]Y.Zhao, J.Yang, JCW Chan. Hyperspectral Imagery Super-Resolution by Spatial–Spectral Joint Nonlocal Similarity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6):1-13, 2014.
[34]S.Gao, Y. Cheng, Y. Zhaoet al. Data-driven quadratic correlation filter using sparse coding for infrared targets detection. Journal of Infrared and Millimeter Waves.33(5):498-506,2014.
[35]S.Gao, Y.Cheng,Y.Zhao. Method of visual and infrared fusion for moving object detection. Optics letters,38 (11):1981-1983, 2013.
[36]Y.Zhao, S. G.Kong. Automated classification of touching or overlapping M-FISH chromosomes by region fusion and homolog pairing. Pattern Analysis and Applications,16 (1):31-39, 2013.
[37]S.Gao, Y.Cheng, Y.Zhao. Unsupervised change detection of satellite images using low rank matrix completion. Optics Letters,38 (23):5146-5149,2013.
[38]J.Wen, Y.Zhao, X.Zhang, W.Yan, W.Lin, Local discriminant nonnegative matrix factorization feature extraction for hyperspectral image classification, International Journal of Remote Sensing, 35(13): 5073–5093, 2014.
[39]Y.Zhao, Q.Zhang, J.Yang. High-resolution multiband polarization epithelial tissue imaging method by sparse representation and fusion. Applied Optics,51 (4):A27-A35, 2012.
[40]Y.Zhao, L.Zhang, S.G.Kong. Band-subset-based clustering and fusion for hyperspectral imagery classification. IEEE Trans.on Geoscience and Remote Sensing, 49 (2):747-756, 2011.
[41]Y.Zhao, G.Zhang, F.Jie, S.Gao, C.Chen, Q.Pan. Unsupervised Classification of Spectropolarimetric Data by Region-Based Evidence Fusion. IEEE Geoscience and Remote Sensing Letters, 2011:755-759.
[42]Y.Zhao, J.Yang, Q.Zhang, L.Song, Y.Cheng, Q.Pan. Hyperspectral imagery super-resolution by sparse representation and spectral regularization. EURASIP Journal on Advances in Signal Processing, 2011 (1):87.
[43]Y.Zhao, X.Wu, S.G.Kong, L.Zhang. Joint segmentation and pairing of multispectral chromosome images. Pattern Analysis & Applications, 2011:1-10.
[44]Y. Wu, Y.M. Cheng, Y.Q. Zhaoet al. Infrared target detection using kernel Rayleigh quotient quadratic correlation filter. Journal of Infrared and Millimeter Waves.30(2):142-148,2011.
[45]C. Chen, Y.Q. Zhao, L. Luo et al. Model and Analysis of Spectropolarimetric BRDF of Painted Target Based on GA-LM Method. Spectroscopy and Spectral Analysis. 2010: 729-734.
[46]Y.Zhao, P.Gong, Q.Pan. Object Detection by Spectropolarieteric Imagery Fusion, IEEE Trans.on Geoscience and Remote Sensing, 46(9), 2008.
[47]Y.Zhao, L. Zhang, Q.Pan. Spectropolarimetric imaging for pathological analysis of skin, Applied Optics, 48(10): D236-D246, 2009.
[48]Y.Zhao, L.Zhang, Q.Pan. Object Separation by Polarimetric and Spectral Imagery Fusion, Computer Vision and Image Understanding, 2009.
[49]S.B.Gao, Y.M. Cheng, Y.Q. Zhaoet al. Detection of Buried Target Based on Multitemporal Infrared Image. Journal of Infrared and Millimeter Waves.28(1):142-148, 2009.
[50]Y.Zhao,P.Gong,Q.Pan, Unsupervised spectropolarimetric imagery clustering fusion, Journal of Applied Remote Sensing, 3(1), 033535, 2009.
[51]Y.Zhao, Q.Pan, H.Zhang. New Polarization Imaging Method based on Spatially Adaptive Wavelet Image Fusion, Optical Engineering,45(12): 123202 -1-6, 2006.



社会兼职 Social Appointments
陕西省图像图形学学会常务理事
陕西省仪器仪表学会常务理事
宇航学会光电专委会委员
国家自然科学基金函评专家
IEEE Sensors Journal Associate Editor, 2020-今
IEEE Access Associate Editor, 2018-今(2019 Outstanding Associate Editors Award)
Journal of Sensors专刊“Multispectral, Hyperspectral, and Polarimetric Imaging Technology (POLA)” Lead Guest Editor
Remote Sensing专刊“Spatial Enhancement of Hyperspectral Data and Applications”Guest Editor
Remote Sensing专刊“Deep Learning and Feature Mining for Hyperspectral Imagery ”Guest Editor
NCIG2020会议程序委员会委员，第30、32、33、34、35、38、39届中国控制会议程序委员会委员，IGARSS2013高光谱图像去噪分会主席、IGARSS2014高光谱图像超分辨分会主席
IEEE TC、IEEE TIP、IEEE TGRS、IEEE J-STAR、Optical Express、Applied Optics、《自动化学报》（中英文版）、《电子学报》（中英文版）等20余种国际、国内学术期刊审稿人
第六届新型光电探测技术及其应用研讨会--共主席





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