XU Bo
Associate Professor of Surveying and Geo-Informatics
Research Interests:
3D urban reconstruction，Point cloud processing，Computer version and machine learning
Connect：
SWJTU XIPU Campus Building 6 Room 6102
Email：xubo@swjtu.edu.cn
Education:
School of Geomatics and Geodesy, Wuhan University, 2007-2011
Ph.D. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 2011-2017
Experience
Postdoctor. Civil Engineering, Purdue University (USA), 2017-2019
Research Interests
I'm now focusing on 3D reconstruction of our planet earth globally and regionally using datasets collected from the satellites, aircrafts, drones, vehicles, backpacks and hand-held devices. The technology we considered include the point cloud segmentation and classification, building reconstruction and normalization, object detection and identification, and Interaction modeling.
Selected Publications
F. Wang et al., "Multientity Registration of Point Clouds for Dynamic Objects on Complex Floating Platform Using Object Silhouettes," in IEEE Transactions on Geoscience and Remote Sensing,2020
M. Leotta etc.,Urban Semantic 3D Reconstruction from Multiview Satellite Imagery, CVPR workshop EarthVision, Long beach, USA, 2019 (best paper award).
Z. Li,B. Xu, J. Shan,Geometric Object Based Building Reconstruction From Satelite Imagery Derived Point Clouds, In the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W13, Enschede, the Netherlands, 2019
B. Xu et al., “HRTT: A Hierarchical Roof Topology Structure for Robust Building Roof Reconstruction from Point Clouds”. Remote Sensing. vol. 9(4), 354, 2017.
Z. Yang et al.,“A Convolutional Neural Network based 3D Semantic Labeling Method for ALS Point Clouds”, Remote Sensing, vol. 9, p. 9, 2017.
R. Zhou, W. Jiang, W. Huang,B. Xu. A Heuristic Method for Power Pylon Reconstruction from Airborne LiDAR Data, Remote Sensing, vol. 9, p. 11, 2017.
B. Xu et al., “Investigation on the Weighted RANSAC Approaches for Building Roof Plane Segmentation from LiDAR Point Clouds”. Remote Sensing. vol. 8(1), 5, 2016.
B. Xu et al.,”A research on thehierarchy and completeness of roof topology for robust building reconstruction from airborne point cloud”. In the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Tokyo, Japan, 2015.
