Special Issue: "LiDAR for 3D City Modeling" - Sensors Journal

Guest Editors:
Dr. Jonathan Li ¹ and Dr. Michael A. Chapman ²
1 Associate Professor, Department of Geography, Faculty of Environmental Studies, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada
Tel. + 1 519 888 4567, ext. 34504, Fax +1 519 746 0658
E-mail: junli@uwaterloo.ca, http://www.fes.uwaterloo.ca/research/rsgtl/ http://www.fes.uwaterloo.ca/geography/faculty/jonathan_li/
2 Professor, Department of Civil Engineering, Faculty of Engineering, Architecture and Science, Ryerson University, 350 Victoria Street, Ontario M5B 2K3, Canada
 Tel. 1 416 979 5000, ext. 6461, Fax  1 416 979 5122
E-mail: mchapman@ryerson.ca; http://www.ryerson.ca/civil/

Deadline for Paper Submission: 31 August 2008

Summary

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.

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.

Submission

Sensors (http://www.mdpi.org/sensors/) is a highly rated journal with a 1.373 impact factor in 2006.
Sensors is indexed and abstracted very quickly by Chemical Abstracts, Analytical Abstracts, Science Citation Index Expanded, Chemistry Citation Index, Scopus and Google Scholar.

All papers should be submitted to sensors@mdpi.org with copy to the guest editors. To be published continuously until the deadline and papers will be listed together at the special websites.

Please visit the instructions for authors at http://www.mdpi.org/sensors/publguid.htm before submitting a paper. Open Access publication fees are 1050 CHF per paper. English correction fees (250 CHF) will be added in certain cases (1300 CHF per paper for those papers that require extensive additional formatting and/or English corrections.).



Mr. Matthias Burkhalter and Ms. Laura Simon
Assistant Editor
MDPI Center - Sensors Office
Matthaeusstrasse 11 - CH-4057 Basel / Switzerland
E-mail: sensors@mdpi.org
Tel +41 61 683 7734, Fax +41 61 302 8918
http://www.mdpi.org/sensors


MDPI - Matthias Burkhalter - 12 March 2008