个人简历

方兴,男,大地测量学博士,副教授, 武汉大学珞珈青年学者,湖北省楚天学子。 2011年德国汉诺威大学博士毕业并回国留武汉大学工作,2015赴美国俄亥俄州立大学进行博士后研修。主要从事变形监测,地球框架确定及GNSS时间序列分析等大地测量数据处理方面的研究。主持与参与国家自然科学青年及面上项目,发表SCI论文20篇。

研究方向:大地测量数据处理

办公电话:027-68758537

电子邮件:xfang@sgg.whu.edu.cn

办公地点:武汉大学信息学部4 号楼321

一、教育经历

2017.10-2017.11 澳大利亚新南威尔士大学访问学者

2017.7-2017.8 英国纽卡斯尔大学访问学者

2015.03-2017.03 美国俄亥俄州立大学, 博士后

2008.01 -2011.04 德国汉诺威大学,大地测量学博士

2004.10 -2007.07 德国汉诺威大学,大地测量学硕士

2000.09 -2004.06 武汉大学,测绘工程

二、工作经历

2014.11 至今 武汉大学副教授
2011.09 –2014.11 武汉大学讲师

三、SCI论文, 国际报告, 审稿期刊

20) Zeng WX, Fang X*, Lin Y, Huang X, Yao YB  (2017) On the errors-in-variables model with inequality constraints of dependent variables for geodetic transformation. Survey Review, in press

19) Wu Y, Liu X, Liu W, Ren J, Lou Y, Dai X, Fang X  (2017)Long-term behavior and statistical characterization of BeiDou signal-in-space errors. GPS Solutions, 21(4), 1907-1922

18) Xie C, Huang X, Wang L, Fang X, Liao W  (2017) Spatiotemporal change patterns of urban lakes in China’s major cities between 1990 and 2015. International Journal of Digital Earth, 1-18

(17) Zhou YJ, Gong JH, Fang X (2017) Accurate coupled lines fitting in an errors-in-variables framework. Survey Review

16) Zeng WX, Fang X*, Lin Y, Zhou YJ, Huang X (2017) On the Total Least-Squares estimation for autoregressive model, Survey Review

15) Lin Y, Wei T, Yang B, Knyazikhin Y, Zhang Y, Sato H, Fang X, Liang X, Yan L, Sun S (2017) TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest. International Journal of Digital Earth. In press

14) Fang X, Li B, Alkhatib H, Zeng WX, Yao YB (2016) Bayesian inference for the Errors-In-Variables model. Studia Geophysica et Geodaetica, doi:10.1007/s11200-015-6107-9

13) Xie C, Huang X, Zeng WX, Fang X* (2016) A novel water index for urban high-resolution eight-band WorldView-2 imagery, International Journal of Digital Earth, 9:10, 925-941, DOI:10.1080/17538947.2016.1170215

12) Zhou YJ, Kou XJ, Li J, Fang X (2016) Comparison on structured and weighted total least squares adjustment methods for linearly structured errors-in-variables models, J. Surv. Eng., ASCE, online, http://dx.doi.org/10.1061/(ASCE)SU.1943-5428.0000190

11) Wang J, Kutterer H, Fang X* (2016) External error modeling with combined model in terrestrial laser scanning, Survey Review, 48 (346):40-50

10) Fang X (2015) Weighted total least-squares with constraints: a universal formula for geodetic symmetrical transformations. Journal of Geodesy, 89 (5): 459-469

9) Fang X, Wang J, Li B, Zeng W, Yao Y (2015) On total least squares for quadratic form estimation. Studia Geophysica et Geodaetica, 59(3): 366-379 DOI: 1007/s11200-014-0267-x

8) Huang X, Xie C, Fang X, Zhang L (2015) Combining Pixel-and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery. Journal of selected topics in applied earth observations and remote sensing. 8(5):2097-2110

7) Zhou Y, Fang X* (2015) A mixed weighted least squares and weighted total least squares adjustment method and its geodetic applications. Survey review. DOI: 10.1179/1752270615Y.0000000040

6) Fang X, Wu Y (2015) On the errors-in-variables model with equality and inequality constraints for selected numerical examples. Acta Geodaetica et Geophysica, DOI: 10.1007/s40328-015-0141-5

5) Fang X (2014a) On non-combinatorial weighted Total Least Squares with inequality constraints. Journal of Geodesy, 88 (8): 805-816

4) Fang X (2014b) A structured and constrained Total Least-Squares solution with cross-covariances, Studia Geophysica et Geodaetica, 58 (1): 1-16

3) Fang X (2014c) A total least squares solution for geodetic datum transformations. Acta Geodaetica et Geophysica, 49 (2): 189-207

2) Lu J, Chen Y,  Li BF, Fang X (2014) Robust Total Least Squares with Reweighting Iteration for Three-Dimensional Similarity Transformation, Survey Review, 46(334):28-36

1) Fang X (2013) Weighted Total Least Squares: necessary and sufficient conditions, fixed and random parameters. Journal of Geodesy, 87 (8): 733-749

国际口头报告:

Oral presentation in international conferences

  1. Fang X. A global solution for the weighted total least squares with inequality constraints. VIII Hotine-Marussi Symposium on Mathematical Geodesy, International Association of Geodesy, Rome, Italy, 2013
  2. Fang X and H Kutterer. On the weighted Total Least Squares Solutions. The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems (QuGOMS’11), International Association of Geodesy, Munich, Germany, 2011
  3. Fang X and J Mueller. Special aspects of parameter estimation in LLR data processing. Theory and Model for the New Generation of the Lunar Laser Ranging Data, second workshop, Bern, Swiss, 2011 (http://www.issibern.ch/teams/lunarlaser/private/Talks_Second_Workshop/)
  4. Schaffrin B, Snow K, Fang X. ALTERNATIVE APPROACHES FOR THE USE OF UNCERTAIN PRIOR INFORMATION TO OVERCOME THE RANK-DEFICIENCY OF A LINEAR MODEL. Presented at LinStat 2016, Istanbul, Turkey, 22–25 August 2016
  5. Schaffrin B, Snow K, Fang X. On the total lest-squares approach to a multivariable errors-in-variables model. Presented at international statistical institute, regional statistics conference, Bali, 22-24 March 2017

 

审稿期刊

Reviewer in following journals and proceedings
1. Acta Geodaetica et Cartographica Sinica, 2. Acta Geodaetica et Geophysica, 3. Advances in space Research, 4. Applied Mathematics, 5. Applied Mathematics and Computation, 6. Earth, Planet and Space, 7. IAG Symposium, 8. International Journal of Mining Science and Technology 9. Journal of Applied Geodesy, 10. Journal of Geodesy, 11. Journal of Geodetic Science, 12. Journal of Spatial Science, 13. Journal of Surveying Engineering, 14. Nuclear Science and Techniques 15. Sensors 16. Studia Geophysica et Geodaetica, 17. Survey Review, 18. Inverse Problems in Science and Engineering, 19. Plos one

四. 科研项目

主持国家自然科学基金面上项目一项:Errors-In-Variables模型的贝叶斯理论研究

主持国家自然科学基金青年项目一项:带有先验信息的总体最小二乘全局优化算法研究及在测绘中的应用

主持中央高校自主科研青年项目一项:无权约束的坐标转换算法研究与应用

参与国家自然科学基金项目3项(面上两项,青年一项):

系数矩阵误差对最小二乘估计的影响及EIV模型的可靠性理论研究

广义通用平差模型的建立及其估计理论研究

GNSS 接收机自主完备性监测的高级算法与性能研究

五. 个人荣誉

湖北省教育厅楚天学子

武汉大学珞珈青年学者

测绘专业讲课比赛全国一等奖

ESRI中国杯测绘学报2017年度优秀论文