杨 文-武汉大学信号处理研究室
    杨 文

    联系方式:  

     

    地址:湖北省武汉市珞珈山 武汉大学电子信息学院

    邮编:430072

    电子邮件:yangwen@whu.edu.cn 

    学习经历:    


    1994-1998    武汉大学电子信息学院      电子仪器与测量技术    本科

    1998-2001    测绘遥感信息工程国家重点实验室   计算机应用技术    硕士

    2001-2004    武汉大学电子信息学院      通信与信息系统    博士 

    任职经历:    


    2013.11-至今           武汉大学电子信息学院       教授/博导

    2006.11-2013.10     武汉大学电子信息学院       副教授/硕导

    2003.11-2006.10     武汉大学电子信息学院       讲师

    2010.11-2013.11     测绘遥感信息工程国家重点实验室    博士后研究员

    2008.09-2009.09     法国应用数学与计算机科学实验室    访问学者/博士后 

    主讲课程:   


    1.本科生:《人工智能引论》
    2.
    研究生:《机器学习与大数据》 

    主要研究方向:  


    1.图像处理与计算机视觉
    2.
    机器学习与数据挖掘及其在图像大数据中的应用
    3.
    无人机系统智能信息处理及应用 

     

    科研项目:    


    1.国家海洋局极地科学重点实验室基金,“基于SAR图像的极区海冰信息提取”(主持)
    2.
    湖北省自然科学基金,“基于ContourletHMT模型的SAR图像线状奇异结构特征提取研究”(主持
    3.
    测绘遥感信息工程国家实验室自主研究课题,“极化干涉SAR目标检测与分类”(主持)
    4.
    武汉大学电子信息学院学科建设项目,“高分辨率SAR实时成像处理硬件平台”(主持)
    5.
    国家自然科学基金,“基于幅-频多分辨率分析的SAR影像中海冰信息提取与分类方法研究”(参与)
    6.
    国家自然科学基金,“Turbo迭代信号处理”(参与)
    7.
    国家自然科学基金,“基于危险理论的高分辨率卫星图像车辆目标免疫识别模型算法研究”(参与)
    8.
    国家自然科学基金,“高分辨率极化SAR图像场景分割与标注算法研究”(主持)
    9.
    国家自然科学基金重点项目子课题,“基于多维度微波成像数据的土地覆盖类型分类方法研究”(主持)
    10.XXX
    预研项目,“多极化SAR 图像XXX(主持)
    11.XXX
    预研项目,“多极化SAR应用XXX(参与)
    12.
    国家863计划专项,“XXX提取与融合”(参与)
    13.
    国家863计划专项,“XXX质量评估技术”(参与)
    14.
    国家863计划探索导向课题,“高分辨率SAR图像城区信息智能检索”(参与)
    15.
    国家863计划目标导向课题,“极化干涉合成孔径雷达”-子课题“极化干涉SAR数据处理技术”(主持)
    16.
    企业课题,“高分辨率卫星影像数据库”(主持)
    17.
    企业课题,“近海高分辨率SAR影像分析技术”(参与)
    18.
    国家自然科学基金,“高分辨率极化SAR图像场景分类算法研究”(主持)
    19.
    横向课题,“卫星广域监测技术对输电线路运行环境灾害监测的应用研究”(主持)
    20.
    国家973计划子课题,“森林主动遥感散射的复杂地表效应及校正方法”(主持)
    21.
    国家自然科学基金重大研究计划(培育项目),“数据驱动的海量遥感影像高效信息挖掘”(参与)
    22.
    横向课题,“边坡监测抗干扰数据处理方法研究”(主持)
    23.
    横向课题,“联合多源遥感影像的草原地物分类与变化监测”(主持)
    24.
    国家自然科学基金重点项目,“高分辨率SAR图像城市目标认知解译与动态监测应用研究”(参与
    25.
    横向课题,“基于光学/红外图像的无人机目标实时检测与跟踪”(主持)
    26.
    横向课题,“应急专题数据整合处理软件工具”(主持)
    27.
    新技术课题,“基于深度学习的大尺度高分图像场景语义标注与目标检索”(主持
    28.
    国家自然科学基金,“基于BPT表达的时间序列PolSAR图像变化检测研究” (主持)
    29.
    中央高校专项基金(综合交叉)项目,“面向灾害的无人机区域组网协同对地观测技术研究”(Co-PI)
    30.
    湖北省自然科学基金创新群体项目,“时频域图像信息获取与智能识别”(参与)

     

    论文发表:     


    [1]Wen Yang*, Bill Triggs, Dengxin Dai, GuiSong Xia. “Scene segmentation via low-dimensional semantic representation and CRFs”, EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 196036, 14 pages, 2010. doi:10.1155/2010/196036.
    [2]Tongyuan Zou, Wen Yang*, Dengxin Dai, Hong SUN, “Polarimetric SAR Image Classification Using Multi-Features Combination and Extremely Randomized Clustering Forests”, EURASIP Journal on Advances in Signal Processing. vol. 2010, Article ID 465612, 9 pages, 2010. doi:10.1155/2010/4656122.

    [3]Yongmin Shuai, Hong Sun, Wen Yang, "Polarimetric SAR Image Object Segmentation via Level Set With Stationary Global Minimum", EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 656908, 14 pages, 2010. doi:10.1155/2010/656908
    [4]Dengxin Dai, Wen Yang*, and Hong Sun, “Multi-level Local Pattern Histogram for SAR Image Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 2, pp. 225-229, 2011.
    [5]Dengxin Dai and Wen Yang*, “Satellite Image Classification via Two-layer Sparse Coding with Biased Image Representation,” IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 1, pp. 173–176,2011.
    [6]Wen Yang*, Lijun Chen, Dengxin Dai, Guisong Xia, "Semantic Labelling of SAR Images with Conditional Random Fields on Region Adjacency Graph", IET Radar, Sonar and Navigation, vol.5, no.8, pp.835-841,2011.
    [7]Wei Yan, Wen Yang*, Hong Sun, Mingsheng Liao, "Unsupervised Classification of PolInSAR Data Based on Shannon Entropy Characterization Using Iterative Optimization", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011,Vol.4,No.4, pp:949-959.
    [8]Wen Yang*, Ying Liu, Guisong Xia, and Xin Xu, "Statistical mid-level features for building-up area extraction from full polarimetric SAR imagery," Progress In Electromagnetics Research, Vol. 132, pp. 233-254, 2012.
    [9]Guofeng Sheng, Wen Yang*, Tao Xu, Hong Sun, "High-resolution satellite scene classification using sparse coding based multiple features combination", International Journal of Remote Sensing, Vol.33, Issue 8, pp.2395-2412, 2012.
    [10]Shangtan Tu, Jiayu Chen, Wen Yang, Hong Sun*, "Laplacian Eigenmaps-based Polarimetric Dimensionality Reduction for SAR Image Classification", IEEE Trans.on Geoscience and Remote Sensing, Vol.50, No.1, pp.170-179, 2012
    [11]Wen Yang*, Dengxin Dai, Bill Triggs, Guisong Xia, SAR-based Terrain Classification using Weakly Supervised Hierarchical Markov Aspect Models, IEEE Trans. on Image Processing, vol.21, no. 9, pp. 4232 - 4243, 2012
    [12]Guofeng Sheng, Wen Yang*, Xinping Deng, Chu He, Yongfeng Cao, Hong Sun, Coastline Detection in Synthetic Aperture Radar(SAR) Images by Integrating Watershed Transformation and Controllable Gradient Vector Flow (GVF) Snake Model, IEEE Journal of Oceanic Engineering,vol.37, no.3, pp.375-383, Jul. 2012
    [13]Kan Xu, Wen Yang*, Gang Liu, Hong Sun, Unsupervised Satellite Image Classification Using Markov Field Topic Model, IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 1, pp. 130–134,2013.
    [14]Hu Fan, Wen Yang*; Chen Jiayu; Sun Hong. 2013. "Tile-Level Annotation of Satellite Images Using Multi-Level Max-Margin Discriminative Random Field." Remote Sensing, vol. 5, no. 5, pp.2275-2291.
    [15]Gang Liu, Wen Yang*, Gui-Song Xia, and Mingsheng Liao, "Structure preserving SAR image despeckling via l0-minimization," Progress In Electromagnetics Research, Vol. 141, 347-367, 2013.
    [16]Wen Shao, Wen Yang*, Gui-Song Xia, Extreme value theory-based calibration for multiple feature fusion in high-resolution satellite scene classification, International Journal of Remote Sensing, Vol. 34, No. 23, pp.8588–8602, 2013
    [17]Wen Yang*, Xiaoshuang Yin, Hui Song, Ying Liu, et al., "Extraction of Built-up Areas from Fully Polarimetric SAR Imagery via PU Learning", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 4, pp.1207–1216, 2014
    [18]Wen Yang*, Hui Song, Xiaojing Huang, et al., Change Detection in High Resolution SAR Images Based on Jensen-Shannon Divergence and Hierarchical Markov Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Vol.7, No.8, pp. 3318-3327, 2014.
    [19]Haijian Zhang*, Guoan. Bi, Wen Yang, S.Razul, and C.See, IF Estimation of FM Signals based on Time-Frequency Image, IEEE Transactions on Aerospace and Electronic Systems, Vol. 51, No. 1, pp.326-343, Jan. 2015.
    [20]Wen Yang*, Xiaoshuang Yin, Guisong Xia, Learning High-level Features for Satellite Image Classification With Limited Labeled Samples, IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, pp.4472-4482, 2015
    [21]Huang, Xiaojing; Yang, Wen*; Zhang, Haijian; Xia, Gui-Song. Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision. Remote Sensing, vol.7, no. 6: 7695-7711, 2015
    [22]Hui Song, Wen Yang*, Yu Bai, Xin Xu, Unsupervised Classification of Polarimetric SAR Imagery Using Large Scale Spectral Clustering with Spatial Constraints, International Journal of Remote Sensing, Volume 36, Issue 11, pages:2816-2830, 2015

    [23] Yu, Huai; Yang, Wen*; Xia, Gui-Song; Liu, Gang. A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification. Remote Sensing, vol.8, no.3, pp.259, 2016

    [24] Xia, G.-S., Liu, G., Yang, W. , Zhang, L., Meaningful objects segmentation from SAR images via a multi-scale non-local active contour model, IEEE Trans. on Geoscience and Remote Sensing, Vol.54, No.3, pp.1860-1873, 2016

    [25]Peng, Dongqing; Zhang, Haijian; Guo, Wei; Yang, Wen. Power Transmission Tower Series Extraction in PolSAR Image Based on Time-Frequency Analysis and A-Contrario Theory. Sensors, 2016, vol. 16, no.11, pp.1862.

    [26]Wen Yang*, Xiangli Yang, Tianheng Yan,et al. Region-based Change Detection for Polarimetric SAR Images Using Wishart Mixture ModelsIEEE Transactions on Geoscience and Remote Sensing,Vol.54, No.11, pp.6746-6756,2016

    [27]Hui Song, Wen Yang*, Neng Zhong, Xin Xu. Unsupervised Classification of PolSAR Imagery Via Kernel Sparse Subspace Clustering, IEEE Geoscience and Remote Sensing Letters, Vol.13, No.10, pp. 1487-1491, 2016

    [28]Neng Zhong, Wen Yang*, Anoop Cherian, et al. Unsupervised Classification of Polarimetric SAR Images via Riemannian Sparse CodingIEEE Transactions on Geoscience and Remote Sensing, vol.55, no.9, pp.5381-5390, 2017.

    [29]Tianheng Yan, Wen Yang*, Xiangli Yang,et al. Polarimetric SAR Despeckling by Integrating Stochastic Sampling and Contextual Patch Dissimilarity ExplorationIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVolume: 10, Issue: 6, pp. 2738-2753, 2017

    [30] Yu, H.; Yang, W. *; Hua, G.; Ru, H.; Huang, P.  Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields. Remote Sens. 2017, 9, 1233.

    [31]Yu Huai, Wang Jinwang, Bai Yu, Yang Wen*, Xia Gui-Song. Analysis of Large Scale UAV Images Using A Multi-scal Hierarchical Representation. Geo-spatial Information Science, 2018, Volume 21,  Issue 1Pages:33-44

    [33]Wei Guo, Wen Yang*, Haijian Zhang, Guang Hua. Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network, Remote Sensing, 2018, 10(1):131,doi:10.3390/rs10010131

    [34]XiangLi Yang, Wen Yang*, Hui Song, et al.,Polarimetric SAR Image Classification Using Geodesic Distances and Composite Kernels, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2018, Volume: 11 Issue: 5, Pages: 1606-1614

    [35] Yu Bai, Stefano Tebaldini, Dinh Ho Tong Minh, Wen Yang*. An empirical study on the impact of changing weather conditions on repeat-pass SAR Tomography, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2018, Volume: 11 Issue: 9, Pages: 1-7

     

    获奖情况:  


    1.2006年湖北省优秀学士学位论文指导教师; 
    2.2007
    年湖北省优秀学士学位论文指导教师;
    3.2010
    年湖北省优秀学士学位论文指导教师;
    4.2013
    年湖北省优秀学士学位论文指导教师;
    5.2014
    年湖北省优秀学士学位论文指导教师;
    6.2012
    年湖北省科学技术奖励自然科学奖三等奖;
    7.2012
    IEEE GRSS DFTC(数据融合技术委员会)数据融合竞赛Top5
    8.2012
    年武汉大学研究生学术创新奖一等奖:涂尚坦,柳莹,盛国峰;三等奖:徐侃,颜卫,许涛,陈丽君;
    9.2013
    年研究生国家奖学金:尹晓双;
    10.2014
    年研究生国家奖学金:尹晓双;
    11.2015
    年研究生国家奖学金:黄晓菁;
    12.2016
    年研究生国家奖学金:余淮,付凯敏;
    13.2016
    年湖北省优秀学士学位论文指导教师;
    14.2016
    年指导本科生设计的“反无人机侦察兵”英特尔杯全国大学生电子设计竞赛嵌入式系统专题邀请赛二等奖; 
    15.2016
    8月指导武汉大学狮鹫队参加由大疆创新(DJI)、美国福特公司(Ford)以及联合国开发计划署(UNDP)联合组织在美国纽约州罗马市格里菲斯机场举办的第三届DJI无人机全球开发者大赛总决赛,获得季军;
    16.2017
    5月指导武汉大学麒麟队(Kylin Team)入围『ICRA2017 RoboMasters国际机器人挑战赛』总决赛,Travel GrantICRA 2017 MMC FinalistsRank 6th);
    17.2017
    8月指导武汉大学鲲鹏队获得首届高分无人飞行智能感知技术竞赛无人机闯关单项奖亚军和综合奖季军;
    18.2017
    8月指导武汉大学“空中骑士队”获得“华为杯”第十二届中国研究生电子设计竞赛全国总决赛二等奖;
    19.2017
    年湖北省优秀硕士学位论文指导教师;
    20.2017
    年研究生国家奖学金:钟 能,王金旺,严天恒;
    21. 2018
    5月指导武汉大学DeepWhuRobot入围『ICRA 2018 DJI RoboMaster 人工智能挑战赛』澳大利亚总决赛,ICRA 2018 RoboMaster AI Challenge FinalistsRank 6th);
    22. 2018
    6月荣获学院“我心中的好导师”。

     

    主要社会及学术兼职: 


    1.IEEE高级会员(IEEE Senior Member: Signal Processing Society, Geoscience & Remote Sensing Society );
    2.
    中国自动化学会模式识别与机器智能(PRMI)专业委员会委员;
    3.
    中国电子学会高级会员。

     

    毕业生:     


    1.已毕业并获得硕士学位的研究生40名;
    2.
    已毕业并获得博士学位的研究生4名;
    3.
    现在读硕士生10名(专硕4名,科硕6名),在读博士生4名。

    学生毕业去向:
    国外:ETH Zurich, EPFL, Columbia Univ., NYU...
    央企:航天八院,航天五院,...
    民企:微软中国,腾讯,阿里,百度,大疆,华为,招银, ...

    热忱欢迎具有电子信息,计算机,自动化,机械,数学,物理等相关背景的同学保送或报考硕士和博士研究生, 学习期间导师在能力范围内尽力提供帮助!