LiDAR for 3D City Modeling
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (30 April 2009) | Viewed by 150336
Special Issue Editors
Interests: LiDAR remote sensing; point cloud understanding; deep learning; 3D vision; HD maps for smart cities and autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
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 bio-metrology applications. algorithms and processing methodologies for LiDAR segmentation; recognition and modeling
Special Issues, Collections and Topics in MDPI journals
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