ZHANG Tonggang

LaserscanningPoint cloud processing and its application on railway

ZHANG Tonggang

Associate Professor, Faculty of Geosciences and Environmental Engineering (FGEE)

Research Interests:

LaserscanningPoint cloud processing and its application on railway

Connect:

SWJTU XIPU Campus Building 4 Room 4546

Email: tgzhang@swjtu.edu.cn; swjtuztg@foxmail.com

Education:

Bachelor's degree in Photogrammetry and remote sensing, Compter Science and Technology, Southwest JiaotongUniversity, China, 1999

Ph.D., Southwest Jiaotong University, China, 2006

Visit Scholar, ITC Faculty,University ofTwente, Netherlands, 2016

Experience

Associate Professor, Faculty of Geosciences and Environmental Engineering (FGEE)

Research Interests

My research has focused on laser scanning point cloud data processing technology and its application in rail transit. The specific research contents include: (1) laser point cloud data processing; (2) surface matching technology without control points; (3) precise engineering survey of high-speed railway; (4) track measurement.

Selected Publications

Tonggang ZHANG*, Yuhui KAN, Hailong JIA, Chuan DENG, Tingsong XING.(2020)Urban Vehicle Extraction from Aerial Laser Scanning Point Cloud Data. International Journal of Remote Sensing, 2020, 41(17), 6664–6697

Maolin FENG, Tonggang ZHANG*, Shichao LI, Guoqing JIN, Yanjun XIA,(2020)Improved minimum bounding rectangle algorithm for regularized building boundary extraction from aerial LiDAR point cloud with partial occlusion,International Journal of Remote Sensing, 41(1), 200-219

Li, Yangtenglong, Minyi Cen, Tonggang Zhang. (2018). A novel data processing method for sectional rail measurements to detect track irregularities in high-speed railways, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 232(2): 435-444.

Chen, Xiaowei, Minyi Cen, Haitao Guo, Tonggang Zhang, Chuan Zhao, Baoming Zhang. (2018). Chinese satellite photogrammetry without ground control points based on a public DEM using an efficient and robust DEM matching method, International Journal of Remote Sensing, 39(3): 704-726.

Zhang, T., G. Vosselman, S. J. Oude Elberink. (2017). Vehicle recognition in aerial Lidar point cloud based on dynamic time warping, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W4: 193-198.

Zhang, Tonggang, Minyi Cen, Zizhen Ren. (2015). A novel method for improved DEM deformation detection, European Journal of Remote Sensing, 48(1): 71-84.

Zhang, T., M. Cen, Z. Ren, R. Yang, Y. Feng, J. Zhu. (2010). Ability to detect and locate gross errors on DEM matching algorithm, International Journal of Digital Earth, 3(1): 72-82