邹维宝 副教授

地质工程与测绘学院

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学位: 博士

毕业院校: 香港理工大学

邮件: wb.zou@chd.edu.cn

电话:

出生年月:

办公地点: 雁塔校区

个人资料

  • 学院: 地质工程与测绘学院
  • 性别:
  • 出生年月:
  • 职称: 副教授
  • 学位: 博士
  • 学历: 博士研究生
  • 毕业院校: 香港理工大学
  • 联系电话:
  • 电子邮箱: wb.zou@chd.edu.cn
  • 通讯地址: 雁塔路126号
  • 邮编:
  • 传真:
  • 办公地址: 雁塔校区
  • 教育经历:

    2001.062004.10 

      香港理工大学,博士。

    1997.092000.10

      西北工业大学,博士。

    1994.091997.03

      西北工业大学,硕士。

    1985.091989.07 

      合肥工业大学,本科。


个人简介

邹维宝,男,副教授,硕导。1997年获西北工业大学硕士学位,2001年在该校获导航、制导与控制专业博士。2004年获香港理工大学遥感专业博士。20042006在香港理工大学做高级研究助理。20071月~20096月在中科院深圳先进技术研究院任副研究员。20097月至20103月在澳大利亚南昆士兰大学做Research Fellow

其主要研究方向为合成孔径雷达影像干涉处理、极化合成孔径雷达影像处理、城市三维重构、多光谱遥感影像分类、模式识别、深度学习及组合导航系统。发表学术论文36篇,其中11篇被SCI检索,12篇被EI检索。主持及参与多项省部级和国际合作科研项目。

邹维宝是国家科技部专家库成员、广东省科技厅专家库成员、陕西省科技厅专家库成员,是山西省科技厅2015年国家国际科技合作项目验收评审专家组成员。


社会职务

2009 –至今  国家科技部专家库成员;

2016 –至今  广东省科技厅专家库成员;

2016 –至今  重庆市科委科技项目评审专家

2014 至今  陕西省科技厅专家库成员;

2014 –至今  中国天文学会会员;

2006 –至今  IEEE 会员;


2018        英文学术期刊《Neural Networks》评审人;

2016         英文学术期刊《International Journal of Remote Sensing》评审人;

2013,2018    英文学术期刊《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》评审人;

2012         英文学术期刊《Pattern Recognition Letters》评审人;

2008–20122015,2017,2018  国际学术会议程序委员会成员,论文评审人,IEEE International Geoscience and Remote Sensing  Symposium (IGARSS'2008, Boston, Massachusetts, USA; IGARSS'2009, Cape Town, South Africa; IGARSS'2010, Honolulu, Hawaii, USA; IGARSS'2011, Vancouver, Canada; IGARSS'2012, Munich, Germany; IGARSS'2015, Milan, Italy; IGARSS'2017, Texas, USA; IGARSS'2018, Valencia, Spain);

2007,2009,2012,2016  国际学术会议程序委员会成员,论文评审人,International Joint Conference on

                     Neural Networks(IJCNN 2007, Orlando, Florida, U.S ; IJCNN 2009, Atlanta, GA, U.S.;

                     IJCNN 2012, Brisbane,Australia;IJCNN 2016,Vancouver,Canada);

2008         英文学术期刊《IEEE Transactions on Neural Networks》评审人;

2007         国际学术会议程序委员会成员,论文评审人,Fourth International Symposium on Neural Networks 2007(ISNN2007),Nanjing, China;

2007         英文学术期刊《IEEE Geoscience and Remote Sensing Letters》评审人。


研究领域

1. 地磁匹配导航,INS/GNSS/SAR组合导航系统;

2. 多光谱遥感影像分类;

3. 基于神经网络和小波分析的数字图像分类;

4. 深度学习;

5.干涉合成孔径雷达(InSAR)影像配准及处理,极化合成孔径雷达影像处理,基于SAR影像的城市三维重构。

开授课程

开授课程


1.本科生课程:

      a.工程测量(26069050Y,留学生课程,英文授课);

      b.测绘工程专业英语。

2.硕士研究生课程:

     a.遥感信息提取与融合(s2605549);

3.博士研究生课程:

     a.遥感信息融合(b2605601);

     b.遥感信息提取(b2602601);

4.博士留学生课程:

     a.遥感信息提取与融合(LB02001Y,英文授课)。


科研项目

1.   主持,国防科技创新项目,基于人工智能的XXXX导航算法研究

2.   主持,长安大学中央高校重点资助项目基于小波域特征的遥感影像中城市密集目标的高精度识别与分类

3. 主持,广东省自然基金项目,基于多分辨率小波变换的多光谱遥感影像与干涉合成孔径雷达影像的自动融合技术的研究

4. 主持,深圳市科信局非共识项目, InSAR遥感影像配准中最优窗口的选择

5. 参与,国家自然科学基金面上项目,基于高精度多源监测信息的渐进破坏式黄土滑坡稳定性精细建模与合理判识研究。

6.   参与,国家重点研发计划,岩溶山区特大滑坡监测预警云平台构建。

7. 参与,国家重点研发计划,岩溶山区特大滑坡早期识别与监测预警。

8.   参与,部委级项目乌江流域特大地质灾害InSAR调查。

9. 技术总负责,深圳市科信局切块项目,基于高性能计算的遥感影像并行处理技术的研究

10.技术总负责,香港政府项目,Adaptive Processing of Data Structures for Image Content Classification

11.技术总负责,欧空局项目,Atmospheric Effects in Interferometric Synthetic Aperture Radar (InSAR) Measurements in HK and Southern China

12.技术总负责,香港政府RGC项目, Enhanced InSAR Technology for Monitoring Earth Surface Deformation


论文

发表的英文期刊文章:

1.W. Zou and L. Chen, 2019, Determination of Optimum Tie Point Interval for SAR Image Coregistration by Decomposing Autocorrelation Coefficient, IEEE Transactions on Geoscience and Remote Sensing, Vol. 57 (7): 5067-5086. (SCI paper, JCR分区一区)

2.W. Zou and Z. Li, 2013, Extraction of Interest Points by Harris Interest Operator for Synthetic Aperture Radar Image Co-registration, IET Image Processing, Vol. 7 (5): 500-513. (SCI paper, JCR分区 三区).

3.W. Zou, 2013, Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network, Lecture Notes in Computer Science 7951:Advances in Neural Networks, part I: 411-420. (EI paper).

4.C. Zhao, Q. Zhang, C. Yang and W. Zou, 2011, Integration of MODIS data and Short Baseline Subset (SBAS) technique for land subsidence monitoring in Datong, China, Journal of Geodynamics, Vol. 52: 16-23. (SCI paper. SCI impact factor 2010: 1.812, JCR分区 二区).

5.W. Zou, Y. Li and A. Tang, 2009, Effects of the Numbers of Hidden Nodes Used in a Structured-based Neural Network on the Reliability of Image Classification, Neural Computing & Applications, Vol. 18 (3): 249-260. (SCI paper. SCI impact factor 2009: 0.812, JCR分区 一区).

6.W. Zou, Y. Li, Z. Li and X. Ding, 2009, Improvement of the Accuracy of InSAR Image Co-registration---A Review. Sensors, 9: 1259-1281. (SCI paper. SCI impact factor 2009: 1.82, JCR分区 二区).

7.W. Zou, Z. Chi and K. C. Lo, 2008, Improvement of Image Classification Using Wavelet Coefficients with Structured Based Neural NetworkInternational Journal of Neural Systems, Vol. 18 (3): 195-205. (SCI paper. SCI impact factor 2008: 0.901, JCR分区 一区)

8.W. Zou, Z. Li and X. Ding, 2007, Determination of optimum window size for SAR image co-registration with decomposition of auto-correlation, Photogrammetric Record, Vol. 22 (119): 237-255. (SCI paper. SCI impact factor 2007: 0.889, JCR分区 二区).

9.W. Zou, Z. Li and X. Ding, 2006, Effects of the intervals of tiepoints used in co-registration on the accuracy of digital elevation models (DEM) generated by InSAR, Photogrammetric Record, Vol. 21(115): 232-254. (SCI paper. SCI impact factor 2006: 0.457, JCR分区 二区).

10.W. Zou, K. C. Lo and Z. Chi, 2006,Structured-based Neural Network Classification of Images Using Wavelet Coefficients, Lecture Notes in Computer Science 3972:Advances in Neural Networks, part II: 331-336. (SCI paper. SCI impact factor 2004: 0.513, JCR分区四区).

11.Z. Li, X. Ding, C. Huang, D. Zheng and W. Zou, 2006, Filtering Method for SAR Interferograms with Strong Noise, International Journal of Remote Sensing, Vol. 27(14): 2991-3000. (SCI paper. SCI impact factor 2006: 0.98, JCR分区 三区).

12.Z. Li, W. Zou, X. Ding, Y. Chen and G. Liu, 2004, Quantitative Measures for the Quality of InSAR Interferogram Based on Phase Differences, Photogrammetric Engineering & Remote Sensing, Vol. 70(10): 1131-1137. (SCI paper. SCI impact factor 2004: 1.574, JCR分区 二区).

发表的英文会议文章:

13.X. Liu, G. Tang and W. Zou, 2021, Improvement of Detection Accuracy of Aircraft in Remote Sensing Images Based on YOLOV5 Model, International Geoscience and Remote Sensing Symposium (IGARSS)'2021, Brussels, Belgium, July 12-14, 4775-4778. (EI paper)

14.Y. Liu, G. Tang and W. Zou, 2021, Video monitoring of Landslide based on background subtraction with Gaussian mixture model algorithm, International Geoscience and Remote Sensing Symposium (IGARSS)'2021, Brussels, Belgium, July 12-14, 8432-8435. (EI paper)

15.W. Zou, 2015, 3D Reconstruction of Building in Urban Areas by TerraSAR-X Data, International Geoscience and Remote Sensing Symposium (IGARSS)'2015, Milan, Italy, 26-31 July 2015, 2995-2997. (ISTP, EI paper).

16.W. Zou, 2014, Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network, International Geoscience and Remote Sensing Symposium (IGARSS)'2014, Quebec, Canada, 13-18 July 2014, 1773-1776. (ISTP, EI paper).

17.W. Zou, W. Y. Yeung and A. Shaker, 2012, Neural Network Based Remote Sensing Image Classification in Urban Area, 2012 International Joint Conference on Neural Networks (IJCNN 2012), Brisbane, Australia, 10-15 June, 2012. (EI paper)

18.W. Y. Yeung, A. Shaker and W. Zou, 2009, Panchromatic IKONOS Image Classification Using Wavelet Based Features, 2009 IEEE Toronto International Conference Science and Technology for Humanity, Toronto, Canada, 2009, Sept. 26-27.

19.W. Zou, Y. Li, 2007, Image Classification Using WaveletCoefficients in Low-pass Bands, 2007 International Joint Conference on Neural Networks (IJCNN 2007), Orlando, Florida, USA, 2007, August 12-17. ISTP, EI paper

20.H. Fu, Z. Chi, D. Feng,W. Zou, K.C. Lo and X. Zhao, 2007, Pre-classification Module for an All-Season Image Retrieval System, 2007 International Joint Conference on Neural Networks (IJCNN 2007), Orlando, Florida, USA, 2007,August 12-17. ISTP, EI paper

21.Z. Li, X. Ding, C. Huang, D. Zheng and W. Zou, 2005, SAR Interferogram Filtering with 2D Vondrák Filter, IGARRS'2005, Seoul, South Korea, 25-29 July 2005, 4825-4828. ISTP, EI paper.

22.Z. Li, X. Ding, C. Huang, G. Wadge, D. Zheng, W. Zou, 2005,Modelling of Atmospheric Effects on InSAR by Incorporating Terrain Elevation Information, International Geoscience and Remote Sensing Symposium (IGARSS)'2005, Seoul, South Korea, 25-29 July 2005, 4240-4243. ISTP, EI paper.

23.W. Zou, J. Ren and S. Ren, 2000, Improved Independence and Fault-tolerance of INS/GNSS Integrated Navigation System By SAR,IEEE Proceedings of World Congress on Intelligent Control and Automation’2000 (WCICA’2000), Hefei, China, June, 2000, Vol. 5: 3713-3716. EI, ISTP paper).

24.X. Peng, Y. Wei and W. Zou, Airborne Navigation by Geomagnetic Field Based on LSTM11th International Congress on Advanced Applied Informatics (2021), Jakarta, Indonesia9-10 December, 2021. (EI paper)

25.W. Zou, X. Liu, J. Yang and W. Qu, 2021, Few-Shot Object Detection of Drones, International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa, 9-10 December, 2021. (EI paper)

26.W. Zou, W. Y. Yeung and A. Shaker, 2011, Structure-Based Neutral Network Classification of Remote Sensing Imagery using Wavelet-Based Features, 8th International Conference on Computer Graphics, Imaging and Visualization, Singapore, 17 - 19 August 2011. (EI paper)

27.W. Zou, Y. Li, K. C. Lo and Z. Chi, 2006, Improvement of Image Classification with Wavelet and Independent Component Analysis (ICA) Based on a Structured Neural Network,IEEE International Joint Conference on Neural Networks 2006, p 3949-3954, 2006,Vancouver, Canada, July 16-21, 2006, 7680-7685.EI paper

28.W. Zou, Z. Li, X. Ding and Y. Chen, 2003, Effects of the interval of tiepoints on the quality of co-registration in InSAR, Proceedings of 7th South East Asian Survey Congress, 3-7 Nov. 2003, Hong Kong.

29.W. Zou, Z. Li, X. Ding, Y. Chen and G. Liu, 2002, Effects of the interval of tiepoints on the reliability of SAR image co-registration, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 20-23 Aug. 2002, Xi’an, China, XXXIV(2), 639-644.


发表的中文文章:

30.李宏,魏毅博,邹维宝,肖枫,彭鑫,瞿伟,基于IGRF13WMM2020模型的地磁匹配特征量的选择。地球物理学进展2022。(中文核心期刊,已录用)

31.邹维宝,魏毅博,采用PolInSAR技术的植被高度反演的算法与研究进展。测绘地理信息2022。(中文核心期刊

32.杨卫宁,邹维宝,基于Spark的出租车轨迹处理与可视化平台。计算机系统应用202029(03):64-72

33.付伟锋,邹维宝,深度学习在遥感影像分类中的研究进展。计算机应用研究20183512):3521~3525(中文核心期刊)

34.邹维宝,于昕玉,麦超,基于Lorentz函数的稀疏约束RBM模型的算法研究。计算机工程与应用2018547):213220(中文核心期刊)

35.麦超,邹维宝,稀疏受限玻尔兹曼机研究综述。计算机工程与科学20173907):13791384(中文核心期刊)

36.王伟超,邹维宝,高分辨率遥感影像信息提取方法综述。北京测绘2013111(4):15

37.邹维宝,李志林,任思聪,SAR在航空器组合导航系统中的应用火力控制,2003, 28(1): 7281.(中文核心期刊)

38.邹维宝,高社生,任思聪,组合导航系统INS/GNSS/SAR及其降阶模型性能的研究控制理论与应用,2002,19(1):135138(EI paper)

39.邹维宝,李志林,任思聪,合成孔径雷达在飞行器组合导航系统中的应用航天控制,2002,1:7281(中文核心期刊)

40.邹维宝,李志林,任思聪,合成孔径雷达融合于组合导航系统中的研究遥感信息, 2001(3): 11-18.(中文核心期刊)

41.邹维宝,陈顺祥,高社生,任思聪,组合导航系统INS/GNSS/SAR的降阶模型数据采集与处理,2000,15(4):452456(中文核心期刊)

42.高社生,邹维宝,任思聪.INS/SAR/GPS组合导航系统中的分散估计融合算法。弹箭与制导学报,2000,4: 2631(中文核心期刊)

43.高社生,邹维宝,任思聪.INS/SAR组合系统对捷联惯性元件的要求与系统性能分析。西北工业大学学报,2000,18(1):147151(中文核心期刊)

44.高社生,邹维宝,任思聪.INS/GPS/SAR组合系统白噪声误差特性的在线随机加权估计中国惯性技术学报,2000,8(3):811(中文核心期刊)

45.君昌,侯义斌,邹维宝,高社生,战术弹道导弹SINS/GNSS/SAR组合制导方法研究。弹箭与制导学报,2000,4: 3841(中文核心期刊)

46.邹维宝,高社生,任思聪,融合SARINS/GNSS组合导航系统。航空电子技术2000,1:2225(中文核心期刊)

47. 高社生,邹维宝,任思聪.随机加权法在INS/GPS/SAR组合系统中的应用西北大学学报(自然科学版)1999,3:2123(中文核心期刊)


科技成果

荣誉奖励

工作经历

2010.04至今      长安大学,副教授

2009.072010.03 澳大利亚University of Southern QueenslandResearch fellow

2007.012009.06 中科院深圳先进技术研究院,副研究员。

2004.112006.12 香港理工大学,高级研究助理。

1989.081997.08 陕西第一工业学校,讲师。