GE Xuming

Associate Professor of Surveying and Geo-Informatics

Photogrammetry and Remote Sensing

connect:

X6104, Faculty of Geosciences and Environmental Engineering

Southwest Jiaotong University

Pidu District, Chengdu, Sichuan Province

Phone:(+86)17340134279;

Email:xuming.ge@swjtu.edu.cn

Education

Ph.D., Geodesy and Survey Engineering 2016

Technical University of Munich, Munich, Germany (TUM)

⚫ Dissertation title: “Terrestrial Laser Scanning Technology from Calibration to Registration with Respect to Deformation Monitoring”

⚫ Supervisor: Prof. Thomas Wunderlich, Chair of Geodesy, Technical University of Munich.

⚫ Co-Supervisor: Prof. Andreas Wieser, Deputy head of IGP, ETH Zurich.

M.Sc., Geomatics 2012

Tongji University, Shanghai, China

Experience

Associate professor, Faculty of Geosciences and Environmental Engineering 2019 –

Southwest Jiaotong University (SWJTU)

Postdoctoral Fellow, Land surveying and Geo-Informatics 2017 – 2019

The Hong Kong Polytechnic University, Hong Kong (PolyU)

⚫ Supervisor: Prof. Wu Bo

Research Interests

My research has focused on point clouds processing including visualization, registration, classification/segmentation and modeling. Recently, I pay more efforts on the expressway and forest informatization by using novel remote sensors, e.g., mobile laser scanner, UAV scanner, RGB-D camera, and terrestrial laser scanner.

Related areas:

(1) point clouds visualization, registration and modeling;

(2) point clouds classification/segmentation and targets detection with machine learning and deep learning;

(3) LiDAR SLAM

Selected Publication

Ge. X., and Hu H.*, 2020. Object-based incremental registration of terrestrial point clouds in an urban environment. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 218-232.

Ge. X.*, 2020. Configuration Requirements for Panoramic Terrestrial Laser Scanner Calibration Within a Point Field. IEEE Geoscience and Remote Sensing Letters, 17(11): 1889-1893.

Wu, B., Ge, X.*, Xie, L., and Chen, W., 2019. Enhanced 3D Mapping with an RGB-D Sensor via Integration of Depth Measurements and Image Sequences. Photogrammetric Engineering and Remote Sensing. Sep., 2019.

Ge., X., Hu, H.*, and Wu, B., 2019. Image-Guided Registration of Unordered Terrestrial Laser Scanning Point Clouds for Urban Scenes. IEEE Transactions on Geoscience and Remote Sensing, Aug., 2019. pp(99):1-13, DOI:10.1109/TGRS.2019.2925805.

Ge, X., and Wu, B.*, 2019. Contextual Global Registration of Point Clouds in Urban Scenes.

Photogrammetric Engineering and Remote Sensing. 2019, 85(8):559-571.

Ge, X., Wu, B.*, Li, Y., and Hu, H., 2019.A Multi-Primitive-Based Hierarchical OptimalApproach for Semantic Labeling of ALS Point Clouds. Remote Sensing, 11(10): 1243.

Ge, Xuming*, 2017.Automatic markerless registration of point clouds with semantic-keypoint-based 4-points congruent sets. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 344-357.

Ge, Xuming*, 2016.Non-rigid registration of 3D point clouds under isometricdeformation.ISPRS Journal of Photogrammetry and Remote Sensing, 121, 192-202.

Ge, Xuming* and Th. Wunderlich, 2016.Surface-based matching of 3D point clouds withvariable coordinates in source and target system.ISPRS Journal of Photogrammetry and Remote Sensing, 111, 1-12.

Ge, Xuming* and Th. Wunderlich, 2015. Target identification in terrestrial laser scanning.

Survey review, 47(341), 129-140.