2. The title:
Dr. Yongbo Wang (Associate Professor)
3. Email: ybwang@cumt.edu.cn
4. The research direction: Acquisition and processing of 3D spatial data; Remote Sensing; Geographic Information Science.
5. Details:
Education
From 2005.09 to 2008.06, PhD of Cartography & GIS, Nanjing Normal University, China
From 2002.09 to 2005.07, Master of Cartography & Geographical Information Engineering, China University of Mining and Technology
From 1998.09 to 2002.07, Bachelor of Survey Engineering, China University of Mining and Technology
Work Experience
From 2016.03 to 2017.03, Visiting scholar, Purdue University, U.S.A.
From 2012.01 to Present, Associate Professor at the School of Environment Science & Spatial Informatics in China University of Mining and Technology;
From 2009.03 to 2009.06, Research Assistant, Hong Kong Polytechnic University, China
From 2008.06 to 2011.12, Lecturer at the School of Environment Science and Spatial Informatics at China University of Mining and Technology
Publications
[1] Yongbo Wang, Nanshan Zheng, Zhengfu Bian. Planar Feature-Constrained, Quaternion-Based Registration Algorithm for LiDAR Point Clouds. Acta Optica Sinica, 2020, 40(23): 2310001.
[2] Yongbo Wang, YunjiaWang, Wenwen She, et al. A Linear Features Constrained, Plücker Coordinates based, Closed-form Registration Approach for Terrestrial LiDAR Point Cloud. Geomatics and Information Science of Wuhan University, 2018, 43(9): 1376-1384.
[3] Yongbo Wang, Yunjia Wang, Xinzhe Han, et al. A Unit Quaternion-based, Point-Linear Feature-Constrained Registration Approach for Terrestrial LiDAR Point Clouds. Journal of China University of Mining & Technology, 2018, 47(3): 671-677.
[4] Yongbo WANG, Yunjiang LI, Bicheng Liao, et al. Research on Application of Object Oriented Programming Methods in Teaching of Courses about Software Design, 2017, 42(1): 197-202.
[5] Yongbo Wang, Yunjia Wang, Huachao Yang. A Unit Quaternion Based Approach for Single Image Space Resection. 2015, 44(3): 557-565.
[6] Yongbo Wang, Yunjia Wang, Kan Wu, Huachao Yang, Hua Zhang. A dual quaternion-based, closed-form pairwise registration algorithm for point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 94: 63–69.（SCI）
[7] WANG Yongbo, YANG Huachao, LIU Yanhua, et al. Linear-Feature-Constrained Registration of LiDAR Point Cloud via Quaternion. Geomatics and Information Science of Wuhan University, 2013, 38(9): 1057-1062.
[8] WANG Yong-bo, SHENG Ye-hua. A curvature extreme based method for feature extraction from LiDAR point cloud. Journal of China University of Mining & Technology, 2011, 40(4): 640-646.
[9] Yongbo Wang, Yehua Sheng. Patrol inspection of EHV electronic power transmission line using 3D laser measuring technology. Science of Surveying and Mapping, 201, 36(5): 60-61.
[10] WANG Yong-bo, SHENG Ye-hua, LU Guo-nian. A Graph-Based Approach for Efficient Encoding of 3D Surface Models. Journal of China University of Mining & Technology, 2010, 39(2): 259-264.
[11] Huachao Yang, Yongbo Wang, Guobiao Yao, et al. Wide baseline stereo matching based on SIFT and SVD. Journal of China University of Mining & Technology, 2011, 40(6): 964-968.
[12] Yang Huachao, Zhang Shubi, Wang Yongbo. Robust and precise registration of oblique images based on scale invariant feature transformation algorithm [J]. IEEE Geoscience & Remote Sensing Letters, 2012, 9(5): 1-5.（SCI）
[13] Huachao Yang, Guobiao Yao, Yongbo Wang. Dense Ma tching for Wide Base-line Stereo Images Based on SIFT. Acta Geoda etica et Ca rtographica Sinica, 2011, 40 (5): 537-543.
[14] WANG Yong-bo, SHENG Ye-hua, LU Guo-nian. A Graph-Based Approach for Efficient Encoding of 3D Surface Models. Journal of China University of Mining & Technology, 2010, 39(2): 259-264.
[15] Y. Wang, Y. Sheng, G. Lu. Feature-constrained surface reconstruction approach for point cloud data acquired with 3d laser scanner. Proceedings of SPIE - The International Society for Optical Engineering, v 7000, Optical and Digital Image Processing, 2008, p 700021.
[16] WANG Yong-bo, SHENG Ye-hua, LU Guo-nian. Dynamic Construction and Real-Time Update of Self-Adaptive View-Dependent LOD Models. Journal of China University of Mining & Technology, 2008, 37(5): 658-663.
[17] WANG Yong-bo, SHENG Ye-hua, LU Guo-nian, et al. A Delaunay-based Surface Reconstruction Algorithm for Unorganized Sampling Points. Journal of Image and Graphics, 2007, 12 (9): 1537-1543.
[18] Yongbo Wang, Yehua Sheng, Ka Zhang, et al. Efficient implementation of adaptive view-dependent mesh simplification. Proceeding of SPIE, Geoinformatics’2007: Cartographic Theroy and Models, Nanjing, China, 2007, v6751: 675102-1~675102-13.
[19] SHENG Ye-hua, WANG Yong-bo, LU Guo-nian, et al. An Algorithm of Data Compression for 3D Surface Model Using the Rule of Edge Contraction. Journal of Image and Graphics, 2007, 12(1): 159-163.
Research Projects
[1] Research on Rigorous Registration Models of LiDAR Point Clouds Which is Driven by Generalized SIFT Features. Supported by NSFC, 2013-2016, Grant No. 41271444;
[2] Research on the Construction of Single Image-based 3D Measuring Model which is Assisted by Terrestrial LiDAR. Supported by NSFC, 2010-2013, Grant No. 41001312;
[3] Research on Rigorous Adjustment Models of LiDAR Point Clouds Which is Driven by Generalized SIFT Features. Supported by NSFC of Jiangsu Province, 2013-2016, Grant No. BK2012569.
[4] Revision of Topographic Maps (by Aerial Phogrammetry). 2013-2014.
Textbooks and Monographs
[1] Wang Yongbo. Terrestrial LiDAR based surface reconstruction and its multi-resolution expression of spatial entities. Southeast university press, 2011.
Invention Patent and Software Copyright
[1] Yongbo Wang. A Linear Features Constrained, Plücker Coordinates based, Closed-form Registration Approach for Terrestrial LiDAR Point Cloud, June 23, 2020, Patent No. ZL201810434316.X;
[2] Yongbo Wang, Nanshan Zheng, Qiuzhao Zhang, Huachao Yang. A Closed-form Solution to Planar Features-based Registration of Terrestrial LiDAR Point Clouds, Feb. 18, 2020, Patent No. ZL201910368059.9.
Supervised Graduates
2019
[1] Changyin Gao, Master Thesis: Research on GPS Normal Height Fitting Method Based on Total Least Squares Criterion. 2019.
[2] Wei Shuai, Master Thesis: Research on the Multi-Feature-based Registration of Terrestrial LiDAR Point Clouds. 2019.
[3] Jianwen Yang, Master Thesis: Research on the Tilt image matching which is based on an improved SIFT algorithm. 2019.
[4] Wei Song, Master Thesis: Research on Image Matching Algorithm of UAV Based on Improved AKAZE Feature. 2019.
2017
[1] ShaoZheng Liu, Master Thesis: Study on Spatial and Temporal Distribution of CO2 and Analysis of Influencing Factors in China.2017.
[2] Xinzhe Han, Master Thesis: Study on the Linear-Feature-based Registration of Terrestrial LiDAR Point Clouds via Geometric Algebra, 2016
[3] Wenwen She, Master Thesis: Research on the terrestrial LiDAR-assisted, Quaternion-based Camera Calibration in Close-Range Photogrammetry, 2016
On-Study Graduate Students
2020
Kun Yuan, Master Candidate
Qiangjuan Liang, Master Candidate
2019
Shenghao Li, Master Candidate
Junwei Huang, Master Candidate
