中国地质大学(武汉)导师教师师资介绍简介-王毅

删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

本站小编 Free考研考试/2021-07-31

教授博士生导师硕士生导师
性别：男
毕业院校：武汉大学
学历：博士研究生
学位：工学博士学位
在职信息：在职
所在单位：地球物理与空间信息学院
入职时间：2007-06-30
职务：系主任
学科：地球探测与信息技术
办公地点：物探楼309
联系方式：cug.yi.wang@gmail.comTel:
Email：

访问量：
最后更新时间：..
同专业博导同专业硕导

首页
科学研究研究领域
科研项目
著作成果
专利
论文成果

教学研究教学成果
授课信息
教学资源

获奖信息
学生信息
招生信息
我的相册
教师博客

其他栏目

English

个人简历
王毅，博士、教授、博士生导师。中国地质大学（武汉）地空学院地球信息科学与技术系主任、湖北省一流本科专业建设点负责人；入选“武汉市晨光青年科技人才计划”、“地大****”青年拔尖人才、中国地质大学“摇篮计划人才”等人才计划；“地球观测与导航”领域国家科技专家库专家；国家自然科学基金、湖北省科技厅、江西省科技厅、武汉市科技局科技项目专家评审；教育部学位与研究生教育发展中心通讯评议专家。中国地质协会会员、自动化学会会员。主要从事遥感技术与应用、海岸数据库构建及大数据可视化、地学信息数据挖掘、自然灾害环境影响评价等方面的教学科研工作。
主持国家自然科学基金项目2项、湖北省自然科学基金1项和武汉市科技人才“晨光计划”项目1项；出版专著1部，共发表国内外学术期刊论文近60篇，其中第一作者或通讯作者国际SCI期刊论文30余篇，包括地学信息领域权威和重要期刊：JOH, IJGIS, IEEE TIP, STOTEN, Catena, JEMA, IEEE JSTARS, RS, IJRS等，论文被引1000余次，ESI高被引论文4篇、本领域Top期刊论文10余篇；受邀担任Remote Sensing、Frontiers in Earth Science等期刊客座编辑。
出版教材1部，获国家发明专利授权2项、软件著作权1项。主持省级教学改革研究项目1项、校级本科质量工程项目2项，指导本科生2次荣获“湖北省优秀学士学位论文”；主持校级研究生教学改革项目2项，培养硕士生近20人，近四年均荣获国家奖学金、3次荣获“中国地质大学（武汉）优秀硕士学位论文”。
欢迎地球信息科学与技术、空间信息与数字技术、模式识别与人工智能、地理信息系统、遥感科学与技术、测绘工程等信息技术相关专业的同学报考研究生！也非常欢迎具有地学背景和计算机技术基础、对计算机应用和信息系统研发感兴趣的同学报考！

2期刊论文
57. Y. Wang*, Z. Fang, H. Hong, R. Costache and X. Tang, “Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree,” Journal of Environmental Management, vol. 289, no. 1, pp. 112449, 2021.（中科院2区top期刊，IF: 5.647）
56. Z. Fang, Y. Wang, G. Duan and L. Peng, “Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China,” Remote Sensing, vol. 13, no. 2, pp. 238, 2021.（中科院2区，IF: 4.509）
55. Y. Wu, R. Niu, Y. Wang* and T. Chen, “A Fast Deploying Monitoring and Real-Time Early Warning System for the Baige Landslide in Tibet, China,” Sensors, vol. 20, no. 22, pp. 6619, 2020.（中科院2区，IF: 3.275）
54. H. Hong, P. Tsangaratos, I. Ilia, C. Loupasakis and Y. Wang*, “Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping,” Science of the Total Environment, vol. 742, pp. 1-17, 2020.（中科院1区top期刊，IF: 6.551）
53. Z. Fang, Y. Wang*, L. Peng and H. Hong, “Predicting flood susceptibility using LSTM neural networks,” Journal of Hydrology, pp. 125734, 2020, In Press.（中科院1区top期刊，IF: 4.5）
52. Z. Fang, Y. Wang*, L. Peng and H. Hong, “A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping,” International Journal of Geographical Information Science, vol. 35, no. 2, pp. 321-347, 2021. （通讯作者，中科院2区，IF: 3.733）
51. J. Song,Y. Wang*, Z. Fang, L. Peng and H. Hong, “Potential of ensemble learning to improve tree-based classifiers for landslide susceptibility mapping,”IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing, vol.13, pp.4642-4662, 2020.（通讯作者，中科院2区，IF: 3.827）
50. H. Hong, P. Tsangaratos, I. Ilia, C. Loupasakis,Y. Wang*, “Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping,”Science of the Total Environment, vol. 742, pp. 140549, 2020.（通讯作者，中科院1区top期刊，IF: 6.551）
49. Z. Fang,Y. Wang*, L. Peng and H. Hong, “Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping,”Computers & Geosciences, vol. 139, pp. 104470, 2020.（通讯作者，中科院2区，IF: 2.991）
48.Y. Wang*, Z. Fang, H. Hong and L. Peng, “Flood susceptibility mapping using convolutional neural network frameworks,”Journal of Hydrology, vol. 582, pp. 124482, 2020.（中科院1区top期刊，IF: 4.5，ESI高被引论文）
47.Y. Wang*, Z. Fang, M. Wang, L. Peng and H. Hong, “Comparative study of landslide susceptibility mapping with different recurrent neural networks,”Computers & Geosciences, vol. 138, pp. 104445, 2020.（中科院2区，IF: 2.991，ESI高被引论文）
46.Y. Wang*, W. Yu and Z. Fang, “Multiple Kernel-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic Information,”Remote Sensing, vol. 12, no. 1, pp. 120, 2020.（中科院2区，IF: 4.509）
45. R. Costache, H. Hong, andY. Wang*, “A Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistical methods,”Catena, vol. 183, pp. 104179, 2019.（通讯作者，中科院1区top期刊，IF: 4.333）
44.Y. Wang, H. Duan, and H. Hong, “A comparative study of composite kernels for landslide susceptibility mapping: A case study in Yongxin County, China,”Catena, vol. 183, pp. 104217, 2019.（中科院1区top期刊，IF: 4.333）
43.Y. Wang,H. Hong, W. Chen,et al., “Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm,”Journal of Environmental Management, vol. 247, pp. 712-729, 2019.（中科院2区top期刊，IF: 5.647，ESI高被引论文）
42. W. Chen, H. Hong, S. Li, H. Shahabi,Y. Wang, X. Wang, B. Ahmad, “Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles,”Journal of Hydrology, vol. 575, pp. 864-873, 2019.
41.Y. Wang*, Z. Fang, and H. Hong, “Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China,”Science of the Total Environment, vol. 666, pp. 975-993, 2019.（中科院1区top期刊，IF: 6.551，ESI高被引论文）
40.Y. Wang* and H. Duan, “Spectral–spatial classification of hyperspectral images by algebraic multigrid based multiscale information fusion,”International Journal of Remote Sensing, vol. 40, no. 4, pp. 1301-1330, 2019.
39. Y. Yang, K. Wu,Y. Wang, T. Chen, X. Wang, “Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas,”Sensors, vol. 19, no. 21, pp. 4685, 2019.
38. W. Chen, H. Hong, M. Panahi, H. Shahabi,Y. Wang,et al., “Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO),”Applied Sciences, vol. 9, no. 18, pp. 3755, 2019.
37.Y. Wang,H. Hong, W. Chen,et al., “A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China,”Remote Sensing, vol. 11, no. 1, pp. 62, 2019.（中科院2区，IF: 4.509）
36.H. Hong, A. Kornejady, A. Soltani, S. V. R. Termeh, J. Liu, A.-X. Zhu, A. Y. Hesar, B. B. Ahmad,Y. Wang*, “Landslide susceptibility assessment in the Anfu County, China: comparing different statistical and probabilistic models considering the new topo-hydrological factor (HAND),”Earth Science Informatics, vol. 11, no. 4, pp. 605-622, 2018.（通讯作者）
35.Y. Wang* and H. Duan, “Classification of Hyperspectral Images by SVM Using a Composite Kernel by Employing Spectral, Spatial and Hierarchical Structure Information,”Remote Sensing, vol. 10, no. 3, pp. 441, 2018.（中科院2区，IF: 4.509）
34. Q. Wang,Y. Wang*, R. Niu, and L. Peng, “Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China,”Remote Sensing, vol. 9, no. 9, pp. 938, 2017.（通讯作者，中科院2区，IF: 4.509）
33. K. Wu, Q. Du,Y.Wang, Y. Yang, “Supervised sub-pixel mapping for change detection from remotely sensed images with different resolutions,”Remote Sensing, vol. 9, no. 3, p. 284, 2017.
32. 王毅，李季. “基于SVM的高光谱遥感图像亚像元定位”. 武汉大学学报（信息科学版）. 2017, 42(2): 198-201. （EI）
31.Y. Wang*, Y. Yang, T. Chen, “Spectral-spatial adaptive and well-balanced flow-based anisotropic diffusion for multispectral image denoising,”Journal of Visual Communication and Image Representation,vol. 43, pp.185-197, 2017.
30.Y. Wang*, Y. Zhang, and H. Song, “A Spectral-Texture Kernel-Based Classification Method for Hyperspectral Images,”Remote Sensing, vol. 8, no. 11, p. 919, 2016.（中科院2区，IF: 4.509）
29.Y. Wang*, H. Song, and Y. Zhang, “Spectral-Spatial Classification of Hyperspectral Images Using Joint Bilateral Filter and Graph Cut Based Model,”Remote Sensing, vol. 8, no. 9, pp. 748, 2016.（中科院2区，IF: 4.509）
28. X. Yu,Y. Wang*, R. Niu, and Y. Hu, “Acombinationof geographically weighted regression, particle swarm optimization and support vector machine for landslide susceptibility mapping: a case study at Wanzhou in the Three Gorges area, China,”International Journal of Environmental Research and Public Health, vol. 13, no. 5, pp. 487, 2016.（通讯作者）
27. Y. Yang,Y. Wang, K. Wu, X. Yu, “Classification of complex urban fringe land cover using evidential reasoning based on fuzzy rough set: a case study of Wuhan city,”Remote Sensing, vol. 8, no. 4, pp. 304, 2016.
26.H. Song andY. Wang*, “A Spectral-SpatialClassification of Hyperspectral Images Based on the Algebraic Multigrid Method and Hierarchical Segmentation Algorithm,”Remote Sensing, vol. 8, no. 4, pp. 296, April 2016.（通讯作者，中科院2区，IF: 4.509）
25.Y. Wang*, K. Wu, Y. Yang, T. Chen, “Gradient and Laplacian-Based Hyperspectral AnisotropicDiffusion,”IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 3235-3249, 2015.（中科院2区，IF: 3.827）
24. T. Chen, Q. Niu, B. Du,Y. Wang, “Landslidespatial susceptibility mapping by using GIS and remote sensing techniques: a case study in Zigui County, the Three Georges reservoir, China,”Environmental Earth Sciences, vol. 73, pp. 5571-5583, 2015.
23. K. Wu,Y. Wang*, R. Niu, L. Wei, “Subpixel land cover change mapping with multitemporal remote-sensed images at different resolution,”Journal of Applied Remote Sensing, vol. 9, no. 1, pp. 097299, 2015.
22. R. Niu, B. Du,Y. Wang, L. Zhang, T. Chen, “Impact of fractional vegetation cover change on soil erosion in Miyun reservoir basin, China,”Environmental Earth Sciences, vol. 72, no. 8, pp. 2741-2749, 2014.
21. H. Shen, P. Wu, Y. Liu, T. Ai,Y. Wang, X. Liu, “A spatial and temporal reflectance fusion model considering sensor observation differences,”International Journal of Remote Sensing,vol. 34, no. 12, pp.4367-4383, 2013.
20. Y. Yang, Q. Zhou, J. Gong,Y. Wang,“An integrated spatio-temporal classification method for urban fringe change detection analysis,”International Journal of Remote Sensing,vol. 33, no. 8, pp. 2516-2531, 2012.
19. K. Wu, R. Niu,Y. Wang, L. Zhang, B. Du,“Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery,”Optical Engineering,vol. 50, no. 12, pp. 126201, 2011.
18.Y. Wang*, R. Niu, L. Zhang, K. Wu,et al., “A Scale-based Forward-and-Backward Diffusion Process for Adaptive Image Enhancement and Denoising,”EURASIP Journal on Advances in Signal Processing,vol. 22, pp.1-19, 2011.
17. T. Chen, R. Niu,Y.Wang,P. Li, L. Zhang, B. Du, “Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniques,”Environmental monitoring and assessment,vol. 179, no. 1-4, pp. 605-617, 2011.
16. X. Wang, Q. Niu,Y. Wang, “Landslide mechanism analysis in the Three Gorges based on cloud model and formal concept analysis,”Quarterly Journal of Engineering Geology and Hydrogeology, vol. 44, no. 2, pp. 249-258, 2011.
15. Y. Wang*, R. Niu, L.Zhang,H. Shen, “Region-based Adaptive Anisotropic Diffusion for Image Enhancement and Denoising,”Optical Engineering,vol. 49, no. 11, pp.117007 (1-19), 2010.
14. H. Shen, Y. Liu, T. Ai,Y.Wang, B. Wu,“Universal reconstruction method for radiometric quality improvement of remote sensing images,”International Journal of Applied Earth Observation and Geoinformation,vol. 12, no. 4, pp.278-286, 2010.
13.Y. Wang*, R. Niu,X. Yu,et al., “Image Restoration and Enhancement Based on Tunable Forward-and-Backward Diffusion,”Optical Engineering,vol. 49, no. 5, pp.057004 (1-20), 2010.
12.Y. Wang*, R. Niu,X. Yu, “AnisotropicDiffusion for Hyperspectral Imagery Enhancement,”IEEE Sensors Journal,vol. 10, no. 3, pp.469-477, 2010.（中科院2区，IF: 3.073）
11.Y. Wang, L.Zhang,P. Li, “Local Variance controlled Forward-and-Backward Diffusion Algorithm for Image Enhancement and Noise Reduction,”IEEE Transactions on Image Processing,vol. 16, no. 7, pp.1854-1864, 2007.（中科院1区top期刊，IF: 9.34）
10.吴柯，牛瑞卿，王毅,杜博. “基于PCA与EM算法的多光谱遥感影像变化检测研究”.计算机科学，2010, 37(3): 282-284.
9.沈焕锋,李平湘,张良培,王毅. “图像超分辨率重建技术与方法综述”.光学技术, 2009, 35(2): 194-203.
8.沈焕锋,王毅等. “影像超分辨率重建技术的发展与应用现状”.测控技术, 2009, 28(6): 5-11.
7.王毅，牛瑞卿，喻鑫等. “基于时间变化的鲁棒各向异性扩散模型”.自动化学报, 2009, 35(9): 1253-1256. (EI)
6.王毅，张良培，李平湘. “基于自动搜索和光谱匹配技术的训练样本纯化算法”.武汉大学学报（信息科学版）. 2007, 32(3): 216-219.（EI）
5.张良培，王毅，李平湘. “基于各向异性扩散的SAR图像斑点噪声自适应滤波算法”.电子学报, 2006, 34(12): 2250-2254.（EI）
4.王毅，张良培，李平湘. “基于概率扩散的多光谱遥感图像分类模型”.中国图象图形学报, 2006, 11(5): 646-651.
3.王毅，张良培，李平湘. “各向异性扩散平滑滤波的改进算法”.中国图象图形学报. 2006, 11(2): 210-216.
2.王毅，张良培，李平湘. “基于最小描述长度原则的各向异性扩散模型”.中国图象图形学报. 2005, 10(8): 957-963.
1.王毅，张良培，李平湘. “多光谱遥感图像的自适应各向异性扩散滤波”.遥感学报, 2005, 9(6): 659-666.

教育经历 [1] 2002.9-2007.6
武汉大学 | 摄影测量与遥感 | 工学博士学位 | 博士研究生
[2] 1998.9-2002.6
武汉大学 | 印刷工程 | 工学学士学位 | 本科(学士)

工作经历 [1] 2017.1-至今
中国地质大学（武汉） |地球物理与空间信息学院 |系主任 |教授、博导 |全职

[2] 2013.7-2014.7
布鲁塞尔自由大学 (Vrije Universiteit Brussel) |电子信息科学学院 |访问****

[3] 2010.1-2016.12
中国地质大学（武汉） |地球物理与空间信息学院 |系主任 |副教授 |全职

[4] 2007.6-2009.12
中国地质大学（武汉） |地球物理与空间信息学院 |系副主任 |讲师 |全职

社会兼职 [1]受邀担任Remote Sensing、Frontiers in Earth Science等期刊客座编辑
[2]担任IEEE Transactions on Neural Networks and Learning Systems、Geoderma、Journal of hydrology、Science of the Total Environment、CATENA、Journal of Environmental Management、Scientific Reports、Remote Sensing、IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing、International Journal of Digital Earth、Natural Hazards、IEEE Sensors Journal、International Journal of Remote Sensing、Remote Sensing Letters、IET Computer Vision、IET Image Processing等30多个国际期刊审稿员

研究方向 [1] 遥感技术与应用

[2] 海岸数据库构建及大数据可视化

[3] 地学信息数据挖掘

[4] 自然灾害环境评价

联系方式 [1]邮编：

[2]传真：

[3]通讯/办公地址：

[4]办公室电话：

[5]移动电话：

[6]邮箱：

中国地质大学(武汉)导师教师师资介绍简介-王毅

本站小编 Free考研考试/2021-07-31

相关话题/中国地质大学 武汉

领限时大额优惠券,享本站正版考研考试资料!

中国地质大学(武汉)导师教师师资介绍简介-张宏斌

中国地质大学(武汉)导师教师师资介绍简介-邓琪敏

中国地质大学(武汉)导师教师师资介绍简介-汪利民

中国地质大学(武汉)导师教师师资介绍简介-刘剑宇

中国地质大学(武汉)导师教师师资介绍简介-徐慧茹

中国地质大学(武汉)导师教师师资介绍简介-解清华

中国地质大学(武汉)导师教师师资介绍简介-顾延生

中国地质大学(武汉)导师教师师资介绍简介-赵江南

中国地质大学(武汉)导师教师师资介绍简介-郭清海

中国地质大学(武汉)导师教师师资介绍简介-余文超