LiDAR for 3D City Modeling
This special issue belongs to the section "Remote Sensors".
Special Issue Information
Dear Colleagues,
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.
Prof. Dr. Michael A. Chapman
Prof. Dr. Jonathan Li (PEng, OLS/OLIP)
Guest Editors
Keywords
- LIDAR
- laser scanning
- 3D city modeling
- urban mapping
- remote sensing
- point cloud
- spatial modeling
- feature extraction
- surface and object reconstruction
- data fusion
- change detection
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