Yiming Chen


Website: https://www.researchgate.net/profile/Yiming_Chen4


Research Fields:

                Forest Structural Parameter Extraction

                Terrestrial Laser Scanning

                UAV Laser Scanning

                Estimation of Leaf Area Index and Leaf Angle Distribution Using TLS

                Automated co-registration of multiple TLS scans

Working Experiences:

                2018.7 - Now:Chinese Academy of Surveying & Mapping, Assistant Research Scientist 

Academic backgrounds:

                2011.9 - 2018.7:Beijing Normal UniversityDepartment of Geography / 

                                             Faculty of Geographical Science, GIS, Master-PhD

                                             Master's Advisor: Prof. Xiaowen Li

                                             Doctor's Advisor: Prof. Wuming Zhang

                2014.9 - 2015.9:Boston UniversityDepartment of Earth & Environment, Visiting Scholar

                                             Advisor: Prof. Alan Strahler

                2007.9 - 2011.7:Wuhan UniversitySchool of Remote sensing and Information Engineering

                                             BE Degree


1. Y. Chen, W. Zhang, R. Hu, J. Qi, J. Shao, D. Li, et al. (2018). Estimation of forest leaf area index using terrestrial laser scanning data and path length distribution model in open-canopy forests. Agricultural and Forest Meteorology, 263, 323-333.

2. W. Zhang, Y. Chen, H. Wang, M. Chen, X. Wang and G. Yan (2016). Efficient registration of terrestrial LiDAR scans using a coarse-to-fine strategy for forestry applications. Agricultural and Forest Meteorology, 225, 8-23.

3. H. Wang, W. Zhang, Y. Chen, M. Chen and K. Yan (2015). Semantic Decomposition and Reconstruction of Compound Buildings with Symmetric Roofs from LiDAR Data and Aerial Imagery. Remote Sensing, 7(10), 13945-13974.

4. D. Xie, X. Wang, J. Qi, Y. Chen, X. Mu, W. Zhang, and G. Yan. (2018). Reconstruction of Single Tree with Leaves Based on Terrestrial LiDAR Point Cloud Data. Remote Sensing, 10(5).

5. W. Zhang, J. Zhao, M. Chen, Y. Chen, K. Yan, L. Li, J. Qi, X. Wang, J. Luo and Q. Chu (2015). Registration of optical imagery and LiDAR data using an inherent geometrical constraint. Optics Express, 23(6), 7694-7702.

6. W. Zhang, H. Wang, Y. Chen, K. Yan and M. Chen (2014). 3D building roof modeling by optimizing primitive’s parameters using constraints from LiDAR data and aerial imagery. Remote Sensing, 6(9), 8107-8133.

7. Y. Chen, W. Zhang, G. Zhou and G. Yan (2013). A novel building boundary reconstruction method based on lidar data and images. In ISPDI 2013-Fifth International Symposium on Photoelectronic Detection and Imaging, International Society for Optics and Photonics, pp. 890522-890522.

8. W. Zhang, X. Zhang, Y. Chen, K. Yan, G. Yan, Q. Liu and G. Zhou (2013). Generation of pixel-level resolution lunar DEM based on Chang'E-1 three-line imagery and laser altimeter data. Computers & Geosciences, 59, 53-59.

9. W. Zhang, Y. Chen, K. Yan, G. Yan and G. Zhou (2012). Primitive-based 3D building reconstruction method tested by reference airborne data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, 373-378.

10. Y. Chen, W. Zhang, K. Yan, X. Li and G. Zhou (2012). Extracting corn geometric structural parameters using Kinect. In 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 6673-6676.

11. G. Zhou, K. Yan, W. Zhang, G. Yan, Y. Chen, P. Grussenmeyer and M. Mohamed (2012). Comparison of 3D buildings reconstructed by different data sources. In 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 6001-6004.

12. 王向玉, 谢东辉, 汪艳, 陈一铭, 漆建波, & 阎广建等. (2015). 基于地面激光雷达点云数据的单木三维重建. 遥感技术与应用, 30(3), 455-460.


            1. 2013-2014,"Tangren scholarship" of Department of  Geography, Beijing Normal University.

            2. 2014,"Excellent Research Paper" in the 8th Beijing academic forum for Postgraduates in geography

            3. 2008-2010,Awarded second scholarship and "Excellent Student"of Wuhan University