Special Issue "LiDAR for 3D City Modeling"

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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)

Special Issue Editors

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: junli@uwaterloo.ca
Phone: +1 519 888 4567, ext. 34504
Fax: +1 519 746 0658
Interests: mobile laser scanners; multispectral scanners; digital cameras; synthetic aperture radar (SAR); optical/lidar/SAR data processing; and their applications in surveying and mapping; environmental remote sensing; hazard mapping; shoreline mapping; marine pollution tracking; and global change studies

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: mchapman@ryerson.ca
Phone: +1 416 979 5000, ext. 6461
Fax: +1 416 979 5122
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

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

Published Papers (9 papers)

Sensors 2009, 9(8), 6101-6118; doi:10.3390/s90806101
Received: 7 May 2009; in revised form: 12 June 2009 / Accepted: 15 July 2009 / Published: 31 July 2009
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Sensors 2009, 9(8), 6008-6027; doi:10.3390/s90806008
Received: 6 May 2009; in revised form: 19 June 2009 / Accepted: 15 July 2009 / Published: 29 July 2009
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Sensors 2009, 9(7), 5770-5782; doi:10.3390/s90705770
Received: 27 April 2009; in revised form: 5 June 2009 / Accepted: 15 July 2009 / Published: 20 July 2009
Show/Hide Abstract | Download PDF Full-text (752 KB) | View HTML Full-text | Download XML Full-text |  Supplementary Files
abstract graphic

Sensors 2009, 9(7), 5241-5262; doi:10.3390/s90705241
Received: 25 May 2009; in revised form: 25 June 2009 / Accepted: 1 July 2009 / Published: 2 July 2009
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Sensors 2009, 9(6), 4525-4542; doi:10.3390/s90604525
Received: 23 April 2009; in revised form: 21 May 2009 / Accepted: 5 June 2009 / Published: 9 June 2009
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Sensors 2009, 9(4), 2780-2796; doi:10.3390/s90402780
Received: 9 March 2009; in revised form: 31 March 2009 / Accepted: 20 April 2009 / Published: 20 April 2009
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Sensors 2009, 9(4), 2621-2646; doi:10.3390/s90402621
Received: 11 March 2009; in revised form: 10 April 2009 / Accepted: 13 April 2009 / Published: 15 April 2009
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Sensors 2008, 8(11), 7323-7343; doi:10.3390/s8117323
Received: 15 September 2008; in revised form: 21 October 2008 / Accepted: 7 November 2008 / Published: 17 November 2008
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Sensors 2008, 8(9), 5238-5249; doi:10.3390/s8095238
Received: 11 July 2008; in revised form: 26 August 2008 / Accepted: 27 August 2008 / Published: 1 September 2008
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Last update: 4 March 2014

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