杨文

部门: 信息与通信工程系
姓名: 杨文
邮箱: yangwen@whu.edu.cn
性别:
职称: 教授
学历学位: 博士
导师类型: 博导/硕导
办公电话: 027-68754367
通信地址: 湖北省武汉市珞珈山武汉大学电子信息学院
邮政编码: 430072
主要经历:
学习经历:

1.1994.09-1998.06,武汉大学 光电工程学院 电子仪器与测量技术专业,工学学士;
2.1998.09-2001.06,武汉大学 测绘遥感信息工程国家重点实验室 计算机应用专业,工学硕士;
3.2001.09-2004.12,武汉大学 电子信息学院 通信与信息系统专业,工学博士;

 

任职经历:

1.2006.11-2013.10,武汉大学电子信息学院,副教授/硕士生导师;
2.2008.09-2009.09,法国应用数学与信息实验室(Laboratoire Jean Kuntzmann),访问学者/博士后;
3.2010.11-2013.11,武汉大学测绘遥感信息工程国家重点实验室,博士后研究员;
4.2013.07 至今,武汉大学电子信息学院,博士生导师;
5.2013.11 至今,武汉大学电子信息学院,教授/博士生导师

主讲课程:
本科生课程:

Present:《数字信号处理》
Past: 《人工智能导论》,《信息论与编码》,《数字图像处理》
 

研究生课程:

Present:《机器学习与大数据》
Past:《信号检测与估计》,《最优化理论与方法》,《应用信息论》,《现代信号与信息处理》
 

科学研究:
主要研究方向:

1.图像处理与计算机视觉
2.机器学习与遥感大数据挖掘
3.智能无人系统多模态信息感知与融合

主要科研课题及项目:

一. 已完成课题
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Contourlet域HMT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.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)
11.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)
12. 横向课题,“高分辨率卫星影像数据库”(主持)
13. 横向课题,“近海高分辨率SAR影像分析技术”(参与)
14. 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)
15. 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)
16. 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)
17. 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”(Co-PI)
18. 横向课题,“边坡监测抗干扰数据处理方法研究”(主持)
19. 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)
20. 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)
21. 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)
22. 横向课题,“应急专题数据整合处理软件工具”(主持)
23. 横向课题,“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)
24. 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)
25. 横向课题,“基于深度学习的遥感图像地物分类技术”(主持)
26. 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)
27. 人工智能专项,“毫米波车载雷达和视觉特征信息融合”(参与)
28. 横向课题,“多极化SAR图像变化检测技术研究” (主持)
29. 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)
30. 横向课题,高分可见光图像目标检测与识别(主持)

二. 在研课题
1. 国家自然科学基金,低空无人机光学图像与高分辨率SAR卫星影像场景匹配研究 (主持)
2. 纵向课题,多源高分遥感影像目标识别与变化监测 (主持)
3. 横向课题,基于融合的事件相机运动估计(Co-PI)
4. 横向课题,多源信息融合的目标检测与跟踪 (主持)
5. 横向课题,基于事件相机的同步定位和建图系统 (参与)
 


主要论文及著作: 近期主要论文(论文与学生合作完成,标*的为通讯作者, ORCID: http://orcid.org/0000-0002-3263-8768)
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.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.
4.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. 
5.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.
6.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. 
7.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.
8.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.
9.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
10.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 
11.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
12.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.
13.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.
14.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.
15.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
16.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
17.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.
18.H. Zhang*, G. Bi, W. 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.
19.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
20.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
21.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
22.Yu, Huai; Yang, Wen*; Xia, Gui-Song; Liu, Gang. A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification. Remote Sensing, 2016, vol.8, no.3, pp.259. 
23.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.
24.Xia, Gui-Song*; Liu, Gang; Yang Wen; et al.. 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.Wen Yang*, Xiangli Yang, Tianheng Yan,et al. Region-based Change Detection for Polarimetric SAR Images Using Wishart Mixture Models,IEEE Transactions on Geoscience and Remote Sensing,Vol.54, No.11, pp.6746-6756,2016
26.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
27.Neng Zhong, Wen Yang*, Anoop Cherian, et al. Unsupervised Classification of Polarimetric SAR Images via Riemannian Sparse Coding,IEEE Transactions on Geoscience and Remote Sensing, vol.55, no.9, pp.5381-5390, 2017.
28.Tianheng Yan, Wen Yang*, Xiangli Yang,et al. Polarimetric SAR Despeckling by Integrating Stochastic Sampling and Contextual Patch Dissimilarity Exploration,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume: 10, Issue: 6, pp. 2738-2753, 2017
29.Yu, Huai; Yang Wen*; Hua, Guang; Ru, Hui; Huang, Pinging. Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields. Remote Sensing, 2017, 9(12), 1233. 
30.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, 21(1):33-44
31.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
32.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, pp: 1606-1614
33.Huai Yu, Wen Yang*, and Yan Liu, Coarse-to-Fine Accurate Registration for Airborne SAR Images Using SAR-FAST and DSP-LATCH, Progress In Electromagnetics Research, Vol. 163, 89-106, 2018
34.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: 3505-3511
35.Xinping Deng, Jinsong Chen, Hongzhong Li, Pengpeng Han, Wen Yang,Log-cumulants of the finite mixture model and their application to statistical analysis of fully polarimetric UAVSAR data. Geo-spatial Information Science 21(1): 45-55 (2018)
36.Gui-Song Xia, Mihai Datcu, Wen Yang, Xiang Bai,Information processing for unmanned aerial vehicles (UAVs) in surveying, mapping, and navigation. Geo-spatial Information Science 21(1): 1 (2018)
37.Cheng, W.; Yang, W.*; Wang, M.; Wang, G.; Chen, J. Context Aggregation Network for Semantic Labeling in Aerial Images. Remote Sens. 2019, 11, 1158.
38.Zhang, H.; Yang, W.*; Yu, H.; Zhang, H.; Xia, G.-S. Detecting Power Lines in UAV Images with Convolutional Features and Structured Constraints. Remote Sens. 2019, 11, 1342.
39.Lin, S.; Wang, J.; Peng, R.; Yang, W*. Development of an Autonomous Unmanned Aerial Manipulator Based on a Real-Time Oriented-Object Detection Method. Sensors 2019, 19, 2396.
40.Gang Yang, Heng-Chao Li, Wen Yang, Kun Fu, Yong-Jian Sun, William J. Emery,Unsupervised Change Detection of SAR Images Based on Variational Multivariate Gaussian Mixture Model and Shannon Entropy. IEEE Geosci. Remote Sensing Lett. 16(5): 826-830 (2019)
41.Gang Yang, Heng-Chao Li, Wen Yang, Kun Fu, Turgay Çelik, William J. Emery,Variational Bayesian Change Detection of Remote Sensing Images Based on Spatially Variant Gaussian Mixture Model and Separability Criterion. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing 12(3): 849-861 (2019)
42.Gang Yang, Heng-Chao Li, Wei-Ye Wang, Wen Yang and William J. Emery. Unsupervised Change Detection Based on a Unified Framework for Weighted Collaborative Representation With RDDL and Fuzzy Clustering, IEEE Transactions on Geoscience and Remote Sensing, 57(11): 8890-8903, 2019
43.Dong Peng, Ting Pan, Wen Yang*, Hengchao Li. K-Matrix: A Novel Change Pattern Mining Method for SAR Image Time Series. Remote Sensing, 2019, 11, 2161.
44.Ting Pan, Dong Peng, Wen Yang*, Hengchao Li. A Filter for SAR Image Despeckling using Pre-trained Convolutional Neural Network Model. Remote Sensing, 2019, 11, 2379.
45.Wang, Jinwang; Ding, Jian; Guo, Haowen; Cheng, Wensheng; Pan, Ting; Yang, Wen*. Mask OBB: A Semantic Attention-Based Mask Oriented Bounding Box Representation for Multi-Category Object Detection in Aerial Images. Remote Sens. 2019, 11, 2930.
46.Fan Hu,Gui-Song Xia,Wen Yang,Liangpei Zhang,Mining deep semnantic representations for scene classification of high-resolution remote sensing. IEEE Transactions on Big Data, 2020, Vol. 6, Issue. 3, pp. 522-536.
47.Heng-Chao Li, Gang Yang, Wen Yang, Qian Du, William J. Emery, Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 160, February 2020, Pages: 167-179.
48.Jie Xu, Meng Jiang, Lei Yu, Wen Yang and Wenwei Wang. Robust Motion Compensation for Event Cameras with Smooth Constraint. IEEE Transactions on Computational Imaging, 2020, vol.6, no.1, pp.604-614
49.Xu, Fang; Yang, Wen*; Jiang, Tianbi; Lin, Shijie; Luo, Hao; Xia, Gui-Song, Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature Learning, IEEE Transactions on Geoscience and Remote Sensing, 2020, vol. 58, no. 11, pp. 7801-7814
50.Shijie Lin, Fang Xu, Xuhong Wang, Wen Yang*, Lei Yu, Efficient Spatial Temporal Normalization of SAE Representation for Event Camera,IEEE Robotics and Automation Letters2020,vol.5, issue.3, pp.4265-4272
51.Huai Yu, Weikun Zhen, Wen Yang*, Sebastian Scherer, Line-based 2D-3D Registration and Camera Localization in Structured Environments,IEEE Transactions on Instrumentation and Measurement,2020, vol. 69, issue:11, pp. 8962-8972
52. Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang, Event Enhanced High-Quality Image Recovery. ECCV (13) 2020: 155-171
53. Huai Yu, Weikun Zhen, Wen Yang, Ji Zhang, Sebastian A. Scherer, Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences. IROS 2020: 4588-4594
54. Jinwang Wang, Wen Yang*, Heng-Chao Li, Haijian Zhang, Gui-Song Xia, Learning Center Probability Map for Detecting Objects in Aerial Images, IEEE Transactions on Geoscience and Remote Sensing, 2021, Vol. 59, No. 5, pp.4307-4323, May 2021
55. Yang Long; Gui-Song Xia; Shengyang Li; Wen Yang; Michael Yang; Xiaoxiang Zhu; Liangpei Zhang; Deren Li. On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 4205-4230, May 2021
56. Hao Li, Huai Yu, Jinwang Wang, Wen Yang*, Lei Yu*, Sebastian Scherer, ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 178, 2021,Pages 187-202(Best Paper Award of 2021)
57. Xiang Zhang, Wei Liao, Lei Yu, Wen Yang, Gui-Song Xia, Event-based Synthetic Aperture Imaging with a Hybrid Network, CVPR 2021, pp. 14235-14244 (Best Paper Candidate)
58. Xu Fang, Yu Lei*, Wang Bishan, Yang Wen*, et al. Motion Deblurring with Real Events, ICCV 2021
59.Haowen Guo , Ruixiang Zhang, Yuxuan Wang, Wen Yang*, Heng-Chao Li, and Gui-Song Xia,Accurate Bridge Detection in Aerial Images With an Auxiliary Waterbody Extraction Task,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol. 14, pp. 9651-9666, 2021
60. Stefano TEBALDINI, Xinwei YANG, Yu BAI, Mauro Mariotti D' ALESSANDRO, Mingsheng LIAO, Wen YANG. Progresses on SAR remote sensing of tropical forests: forest biomass retrieval and analysis of changing weather conditions,Journal of Geodesy and Geoinformation Science, 2021, Vol. 4,Issue (1): 88-93.
61. K. Yang, G.-S. Xia, Z. Liu, B. Du, W. Yang, L. Zhang, M. Pelillo. Asymmetric Siamese Networks for Semantic Change Detection,IEEE Trans. on Geoscience and Remote Sensing, vol. 60, pp.5609818, 2022
62. J. Ding, N.Xue, G.-S. Xia, X. Bai, W. Yang, M. Y. Yang, S. Belongie, J. Luo, M. Datcu, M. Pelillo, L. Zhang. Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges,IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022,44(11):7778 - 7796.
63. Lei Yu, Bishan Wang, Jingwei He, Gui-Song Xia, Wen Yang. Single Image Deraining with Continuous Rain Density Estimation,IEEE Transactions on Multimedia,in press, doi: 10.1109/TMM.2021.3127360
64. Jinwang Wang, Lingxuan Meng, Weijia Li, Wen Yang*, Lei Yu, Gui-Song Xia*, Learning to Extract Building Footprints from Off-Nadir Aerial Images,IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, doi: 10.1109/TPAMI.2022.3162583
65.Chang Xu, Jinwang Wang, Wen Yang*, Huai Yu, Lei Yu, Gui-Song Xia, Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 190, 2022, Pages:79-93
66. Fang Xu, Yilei Shi, Patrick Ebel, Lei Yu, Gui-Song Xia, Wen Yang*, Xiaoxiang Zhu*, GLF-CR: SAR-enhanced cloud removal with global–local fusion, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 192, 2022, Pages 268-278
67. Taimeng Fu, Huai Yu*, Wen Yang, Yaoyu Hu, Sebastian. Scherer, Targetless Extrinsic Calibration of Stereo, Thermal, and Laser Sensors in Structured Environments,  IEEE Transactions on Instrumentation and Measurement, 2022, Vol. 71, page:1-11.
68. Ruixiang Zhang; Haowen Guo; Fang Xu; Wen Yang; et al., Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images,IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5237112.
69. Lanxin Zeng; Haowen Guo; Wen Yang; et al., Instance Switching-Based Contrastive Learning for Fine-Grained Airplane Detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5633416.
70. Kuangyi Chen, Huai Yu, Wen Yang, Lei Yu, Sebastian Scherer, Gui-Song Xia, I2D-Loc: Camera localization via image to LiDAR depth flow, ISPRS Journal of Photogrammetry and Remote Sensing,Volume 194, 2022, Pages:209-221

国家发明专利
1.一种多对比度模式直方图纹理描述子提取方法,2012,中国,专利号:ZL201010221618.2
2. 一种基于条件随机场模型的SAR图像监督分类方法,2012,中国,专利号:ZL201010256689.6
3. 一种弱监督的SAR图像分类方法,2013,中国,专利号:ZL201010221605.5
4. 基于主动学习的高分辨率遥感影像变化检测方法及系统,2019,中国 ,  专利号:ZL201510586594.3
5.一种面向交通卡口的多特征融合车标识别方法及系统,2019,中国,  专利号:ZL201510364077.1
6.一种结合稳定点和特征点的多时相SAR图像配准方法,2019,中国,  专利号:ZL201610895335.3
7.一种基于显著性检测和鲁棒性尺度估计的相关滤波跟踪方法, 2020, ZL201710567682.8
8.一种面向移动平台的旋翼无人机自主起降方法, 2020, ZL201710539119.X
9.一种面向无人机野外搜救的行人鲁棒跟踪方法, 2020, ZL201710835495.3
10. 一种基于对抗学习的手绘草图检索遥感图像方法, 2021, ZL201910796308.4
11. 一种隧道智能无人机巡检方法, 2021, ZL201910526199.4
12. 一种基于深度学习的事件相机车道线提取方法, 2022, ZL201910823262.0
13. 一种基于迁移学习的跨模态遥感图像的匹配方法, 2022, ZL202010701646.8
14. 一种基于边缘结构信息的无人机图像与SAR卫星图像的匹配方法, 2022, ZL202010686373.4

软件著作权登记
1.雷达极化与极化干涉数据处理系统,登记号: 2010SR019215 
2.高分辨率 SAR图像标注系统, 登记号:2011SR012676
3.近海高分辨率SAR影像舰船检测分析系统,登记号:2011SR045795
4.冰裂隙与蓝冰检测软件,登记号:2011SR098491

 

其它:
获奖情况:
科研获奖:
1.2012年湖北省科学技术奖励自然科学奖三等奖;
2.2018年湖北省科学技术奖励自然科学奖二等奖;
3.2018年IET国际雷达会议(IET Radar 2018)优秀论文奖;
4.2021年CVPR 2021 Best Paper Candidate;
5.2021年ISPRS Journal of Photogrammetry and Remote Sensing最佳论文奖
 
教学指导获奖:
1.湖北省优秀学士/硕士学位论文指导教师十余次;
2.2017年全国研究生电子设计竞赛华中分赛区优秀指导教师奖;
3.2017年第八届湖北省高等学校教学成果奖二等奖;
4.2018年6月荣获学院“我心中的好导师”;
5.2018年全国研究生电子设计竞赛全国总决赛优秀指导教师奖。
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.Associate Editor of IEEE Journal on Miniaturization for Air and Space Systems (IEEE J-MASS)
所带研究生情况:
研究生奖学金:
1.2012年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;
2.2013年研究生国家奖学金:尹晓双;
3.2014年研究生国家奖学金:尹晓双;
4.2015年研究生国家奖学金:黄晓菁;
5.2016年研究生国家奖学金:余淮  付凯敏;
6.2016年地球空间信息技术协同创新中心奖学金: 杨祥立   余淮
7.2017年研究生国家奖学金:钟 能  王金旺   严天恒;
8.2017年研究生学术创新奖二等奖: 杨祥立 
9.2017年阮立平奖学金:余淮
10.2017年地球空间信息技术协同创新中心奖学金: 杨祥立   余淮
11.2018年研究生学术创新奖二等奖:杨祥立 
12.2018年于刚·宋晓奖学金: 余淮
13.2018年研究生国家奖学金: 余淮   王金旺   徐芳  郭威   雷旭   何婉君   林诗杰
14.2019年研究生国家奖学金: 张恒   程文胜
15.2019年阮立平奖学金:余淮
16.2020年研究生国家奖学金:潘婷
17.2020年于刚·宋晓奖学金:王金旺
18.2020年研究生学术创新二等奖:彭栋
19.2021年研究生国家奖学金:李皓

 
学科竞赛获奖:
1.2016年指导本科生设计的“反无人机侦察兵”获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; 
2.2016年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)联合组织的第三届DJI无人机全球开发者大赛美国纽约总决赛,获得季军;
3.2017年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 Grant,ICRA 2017 MMC Finalists(Rank 6th);
4.2017年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;
5.2017年指导武汉大学“空中骑士”队获“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;
6. 2018年指导武汉大学DeepWhuRobot入围『ICRA 2018 DJI RoboMaster 人工智能挑战赛』澳大利亚总决赛,ICRA 2018 DJI RoboMaster AI Challenge Finalists(Rank 6th);
7. 2018年指导武汉大学鲲鹏队获第二届高分无人飞行器智能感知技术竞赛总决赛现场赛亚军和优秀技术方案奖;
8. 2018年指导武汉大学“钢铁奇兵”队获“兆易创新杯”第十三届中国研究生电子设计竞赛全国总决赛一等奖(Top 5)和最佳技术论文奖;
9. 2018年指导“鹰眼队”获得“航天星图杯”第二届高分图像解译软件大赛 “高分辨率SAR图像舰船目标自动识别”科目第3名,“高分辨率SAR图像建筑物提取”第4名以及“高分辨率SAR图像中飞机目标自动识别”第4名;
10. 2018年指导“面向高危环境的智能无人机抓取系统”获得首届中国“AI+”创新创业大赛三等奖*最佳创意奖;
11. 2019年指导“哨戒奇兵-低空目标智能视觉侦测无人车”和“智能隧道巡检无人机系统”分获“兆易创新杯”第十四届中国研究生电子设计竞赛华中分赛区一等奖。


指导学生情况:
1.已毕业并获得硕士学位的研究生36名;
2.已毕业并获得博士学位的研究生9名;
3.在读博士生5名,硕士生8名(专硕2名,科硕6名)
 
1)徐 芳 跨模态图像检索(慕尼黑工业大学联合培养:2021-2023)
2)雷 旭 目标跟踪
3)张瑞祥 高分影像目标检测
4)李号元 跨模态图像匹配
5)王宇轩 高分影像建筑物信息提取
 

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