1st Edition
Ubiquitous Point Cloud Theory, Model, and Applications
Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observation, 3D vision, autonomous driving, smart city, and geospatial information applications. It addresses various aspects of 3D geospatial information including data capturing, fusing, geo-computing, modeling, and applications with the latest AI point cloud methods. With the inclusion of numerous illustrations, diagrams, and practical applications, readers will better understand the point cloud, and its technical challenges, and learn how to utilize point cloud in different fields.
Features
- Provides in-depth point cloud processing pipeline, cutting-edge theory, and technology with AI.
- Includes many specific applications of point cloud in the geospatial field.
- Offers a comprehensive step-by-step guide from theory to application in point cloud processing.
- Includes ample supplementary materials including datasets, tools, and other online resources.
- Helps readers across many disciplines from, geospatial to engineering, understand the vast application of point clouds, and how to further generate new ideas and innovative thoughts.
This book is an excellent resource for researchers, academics, students, and professionals in a variety of fields including Geomatics, Remote Sensing, Cartography and Geographic Information Systems, Data Science, Geography, Earth Science, and more.
Part I: Introduction. 1. Introduction to Point Cloud. 2. Ubiquitous Point Cloud. Part II: INtroduction of Fusion and Enhancement. 3. Multiview Point Clouds Registration. 4. Cross-Platform Points Clouds Registration. 5. Point Clouds and Panoramic Images Registration. Part III: Introduction of Detection and Segmentation. 6. 3D Object Detection. 7. Point Cloud Semantic Segmentation. 8. Point Cloud Instance Segmentation. Part IV: Introduction of Modeling Analysis. 9. 3D Terrain Modeling. 10. 3D Building Reconstruction. 11. 3D Road Reconstruction. Part V: Software Applications. 12. Point Cloud Processing Software - Point2Model. 13. Applications of Uniquitous Point Cloud. 14. Conclusion and Outlooks.
Biography
Dr. Bisheng Yang is a professor in Lidar and Photogrammetry at Wuhan University, China, and Director of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS). His research expertise includes Lidar and UAV Photogrammetry, point cloud processing, GeoAI, and GIS and remote sensing applications. He has so far published more than 100 papers in peer-review journal articles, conferences, and workshop proceedings. He is Co-Chair of Point Cloud Processing Workgroup in the Photogrammetry Commission of the International Society for Photogrammetry and Remote Sensing (ISPRS) since 2016. Currently, He is the Associate Editor of the ISPRS Journal of Photogrammetry and Remote Sensing. He is the recipient of many academic awards including Carl Pulfrich Award (2019), and the Smart City Technology Innovation Award Gold Medal (2023).
Dr. Zhen Dong received his Ph.D. in Remote Sensing and Photogrammetry from Wuhan University in 2018. He is a professor at LIESMARS, Wuhan University. His research is focused on 3D computer vision, particularly 3D reconstruction, scene understanding, point cloud processing, as well as their applications in intelligent transportation systems, digital twin cities, urban sustainable development, and robotics.
Dr. Fuxun Liang received his Ph.D. degree in Remote Sensing and Photogrammetry from Wuhan University. He is currently a postdoctoral fellow in the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. His research is focused on point cloud processing and its applications in building and energy.
Dr Xiaoxin Mi received her Ph.D. degree in the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University. She is currently a postdoctoral fellow at Wuhan University of Technology. Her research interests include point cloud classification and segmentation, and road infrastructure modeling.
