Special Issue "LiDAR for 3D City Modeling"

Guest Editor
Prof. Dr. Michael A. Chapman
Geomatics Engineering, Department of Civil Engineering, Faculty of Engineering, Architecture and Science, Ryerson University, 350 Victoria Street, Ontario M5B 2K3, Canada
Website: http://www.ryerson.ca/civil/
E-Mail:
Interests: algorithms and processing methodologies for airborne sensors using GPS/INS; geometric processing of digital imagery in industrial environments; terrestrial imaging systems for transportation infrastructure mapping; algorithms and processing strategies for

Guest Editor
Prof. Dr. Jonathan Li (PEng, OLS/OLIP)
Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada
Website: http://www.environment.uwaterloo.ca/research/rsgtl/
E-Mail:
Interests: Urban Remote Sensing, 3D City Modeling, Object-oriented Image Classification, Linear Feature Extraction, Surface and Object Detection and Reconstruction, DSM/DTM Generation, Land Use/Cover Change Detection, Mobile Mapping Systems, LiDAR/InSAR Data Processing

Three-dimensional reconstruction of objects towards 3D city modeling becomes a fundamental part in a growing number of applications ranging from urban planning, environmental impact assessment, cultural heritage protection, transportation management, to disaster preparedness. Among the data sources available for 3D city modeling, laser scanner or light detection and ranging (LiDAR) sensor data have emerged in recent years as a leading source for automated extraction of various objects (e.g., buildings, trees, vehicles, terrain, etc.), particularly due to the direct measurements of the surface topography both accurately and densely. However, lack of fast, intelligent and reliable algorithms and software tools for LiDAR data processing and object extraction blocks the marketability of the LiDAR technology. Accordingly, this special issue encourages the submissions of manuscripts on the utilization of LiDAR data for 3D city modeling and innovative project examples of uses of LiDAR mapping technology. Research contributions to the development of LiDAR data processing algorithms and software tools, including segmentation and filtering, generation of digital surface models (DSMs) and digital elevation models (DEMs), feature extraction, surface and object reconstruction, change detection, as well as fusion with optical sensor imagery are particularly welcome.

• LIDAR
• Laser Scanning
• 3D City Modeling
• Urban Mapping
• Remote Sensing
• Point Cloud
• Spatial Modeling
• Feature Extraction
• Surface and Object Reconstruction
• Data Fusion
• Change Detection