Department of Geomatics

WANG Bin

Publisher:Kaifei HePubdate:2021-12-28Views:31

Personal Information


Dr. WANG Bin

Lecturer

Master Supervisor


Department of Geomatics

College of Oceanography and Space Informatics

China University of Petroleum

Address: NO.66, Changjiang West Road, Huandao, Qingdao, 266580, China.

Tel.: +86 0532 8698 0000   Fax.: +86 352 986980000

Email:wangbin007@upc.edu.cn

Web: http://www.escience.cn/people/wb/index.html


Expertise Areas

 •Spatial Analysis & Mathematical Modelling

Intelligence Algorithms for Remote Sensing Image Processing


Education

2011-10 to 2015-09    The Hong Kong Polytechnic University, Hong Kong, China

PhD (Surveying)

2008-09 to 2011-06    Dalian University of Technology, Dalian, China

Master (Computational Mathematics)

2004-09 to 2008-07    China University of Mining & Technology, Xuzhou, China

Bachelor (Information and Computational Science)


Employment

2010-07 to 2011-01    The Hong Kong Polytechnic University, Hong Kong, China

Research Assistant (Spatial Data Quality and Spatial Analysis)

2015-11 to present     China University of Petroleum, Qingdao, China

            Lecturer (Surveying and Mapping)


Courses Offered

Digital Image Processing

Principles and Applications of Remote Sensing

Funding and Projects

2011-11 to 2014-10   AXA Research Fund

Title: Analyze the Risks of Epidemic Spread by Geographic Information Science


2016-01 to 2017-12the Fundamental Research Funds for the Central Universities, NO. 16CX02026A

Title: Research on Risk Early Warning of Infectious Diseases based on Sequential Bayesian Inference


2018-01 to 2020-12   National Natural Science Foundation of China, NO. 41701513

Title: Research on fast reconstruction approaches to 3D road surface from LiDAR point cloud data


Representative Publications

  1. WANG Bin, SHI Wen-zhong*, LIU Er-yong (2015). "Robust Methods for Assessing the Accuracy of Digital Elevation Models", International Journal of Applied Earth Observation and Geoinformation (34), pp. 198-206.

http://dx.doi.org/10.1016/j.jag.2014.08.012 (SCI, IF=3.9)


  1. WANG Bin, SHI Wen-zhong, MIAO Zelang (2015). "Confidence analysis of Standard Deviational Ellipse and its Extension into Higher Dimensional Euclidean Space", PLOS One.

http://dx.doi.org/10.1371/journal.pone.0118537 (SCI, IF=2.8)


  1. WANG Bin, SHI Wen-zhong*, MIAO Zelang (2014). "Comparative analysis for robust penalized spline smoothing methods", Mathematical Problems in Engineering, (2014-7-16).

http://dx.doi.org/10.1155/2014/642475(SCI, IF=0.8)


  1. SHI Wen-zhong*, WANG Bin* and TIAN Yan (2014). "Accuracy Analysis of Digital Elevation Model Relating to Spatial Resolution and Terrain Slope by Bilinear Interpolation." Mathematical Geosciences (46), pp. 445-481.

http://dx.doi.org/10.1007/s11004-013-9508-8(SCI, IF=2.0)


  1. MIAO Zelang, WANG Bin, SHI Wen-zhong*, and WU Hao (2014). "A method for accurate road centreline extraction from a classified image". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(12), pp. 4762-4771.

https://doi.org/10.1080/2150704X.2014.907935(SCI, IF=2.9)


  1. MIAO Zelang, WANG Bin, SHI Wen-zhong*, and ZHANG Hua. "A semi-automatic method for road centreline extraction from VHR images". IEEE Geoscience and Remote Sensing Letters.

http://dx.doi.org/10.1109/LGRS.2014.2312000 (SCI, IF=2.7)


  1. MIAO Zelang*, WANG Bin, SHI Wen-zhong, et al. (2015). "Use of GMM and SCMS for Accurate Road Centerline Extraction from the Classified Image". Journal of Sensors.

http://dx.doi.org/10.1155/2015/784504 (SCI, IF=1.7)


  1. SHI Wen-zhong, WANG Bin, and LIU Er-yong (2015). "Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and Dem Error by Bi-Linear and Bi-Cubic Interpolation Methods", in Uncertainty Modelling and Quality Control for Spatial Data (CRC Press, 2015), pp. 163-196.


Awards & Honors

2017-11, Grand Prize for Scientific Progress in Surveying and Mapping, 10/26, Chinese Society for Surveying & Mapping and Geoinformation, China

Project Title: Key Technologies of Reliably Geographical Conditions Census and Dynamic Monitoring


Others

2017-09 to 2019-05, Innovative Training Program for College Students, UPC

Project Title: Research on Intelligent Algorithms for Extracting Road Centreline from Remote Sensing Images




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