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Laser Scanning 2023

 

Laser scanning 2023 is the 12th of a series of ISPRS workshops covering various aspects of space-borne, airborne, mobile and terrestrial laser scanning in, indoor, underground and outdoor environments. The workshop brings together experts who focus on processing and using point cloud data acquired from laser scanners and other active 3D imaging systems, such as range cameras and gaming sensors including terrestrial, mobile, aerial, unoccupied aerial and space-borne sensing platforms. Topics include all aspects related to sensor calibration, data acquisition and data processing including notably registration, feature extraction, classification, segmentation, object detection, big data processing, data fusion, 3D modelling, BIM and change analysis. The workshop will be part of the ISPRS Geospatial Week 2023 and in Cairo, Egypt in parallel with several related geospatial workshops. The event will be held as a two-day single-track workshop of oral presentations and poster sessions. 

Chairs

Themes of event:
Acquisition

•      Airborne, terrestrial, automotive, bathymetric LIDAR

•      Range imaging and gaming sensors

•      Single Photon LIDAR, Multi-spectral LIDAR, Solid-state LIDAR

•      Ubiquitous point cloud sensing and mapping

 

System and Signal analysis

•      Sensor and system calibration and validation

•      Error modelling

•      Data fusion (LiDAR, RADAR, imagery)

•      Denoising

 

Point Cloud Processing

•      Point cloud registration & denoising

•      Segmentation

•      Classification

•      fusion

•      3D Modelling

•      Feature extraction and object recognition

•      Change analysis

•      Big Data processing

•      Scan-to-BIM

 

Applications

•        Thematic mapping and monitoring

•        Modelling anthropogenic and natural areas

•        Natural resource mapping

•        Biodiversity assessment

•        Precision farming

•        Forest mapping and carbon storage

•        Geohazards analysis

•        Infrastructure monitoring

•        Large-scale urban modelling

 

Organizing Committee:

Jan Boehm (WG II/2), UCL, United Kingdom

Bisheng Yang (WG II/2), LIESMARS, Wuhan University, China

Martin Weinmann, KIT, Germany

Katharina Anders,  Heidelberg University

Ruisheng Wang, University of Calgary

 

Scientific Committee (to be confirmed):

Ahmad Baik (King Abdul Aziz University, Saudi Arabia)

Andreas Mayr (University of Innsbruck, Austria)

Antero Kukko (Finnish Geospatial Research Institute, Finland)

Bernhard Höfle (Heidelberg University, Germany)

Camillo Ressl (TU Vienna, Austria)

Christoph Holst (TU Munich, Germany)

Daniel Wujanz (Technet, Germany)

David Belton (Curtin University, Australia)

David Griffiths (Apple, US)

Dong Zhen (Wuhan University, China)

Fabio Panella (Arup, UK)

Fabio Menna (Bruno Kessler Foundation, Italy)

Florent Poux (University of Liège, Belgium)

Francesco Pirotti (University of Padova, Italy)

Franz Rottensteiner (Leibniz Universität Hannover, Germany)

Gottfried Mandlburger (TU Wien, Germany)

Hai Huang (Universität der Bundeswehr München, Germany)

Kourosh Khoshelham (University of Melbourne, Australia)

Luigi Barazzetti (Politechnic University of Milan, Italy)

Lukas Winiwarter (University of British Columbia, Canada)

Marcus Hebel (Fraunhofer IOSB, Germany)

Markus Gerke (TU Braunschweig, Germany)

Mat Disney (UCL, United Kingdom)

Michael Olsen (Oregon State University, USA)

Monica Herrero-Huerta (University of Salamanca, Spain)

Norbert Haala (University of Stuttgart, Germany)

Roderik Lindenbergh (TU Delft, Netherlands)

Sander Oude Elberink (ITC – University of Twente, Netherlands)

Sanna Kaasalainen (Finnish Geospatial Research Institute)

Thomas Zieher (Austrian Academy of Sciences)

Tomohiro Mizoguchi (Nihon University, Japan)

Volker Wichmann (Laserdata GmbH, Austria)

Wei Yao (Hong Kong Polytechnic University, Hong Kong)

Wen Xiao (China University of Geosciences, China)

Xinlian Liang (Finnish Geospatial Research Institute, Finland)

Yusheng Xu (TU Munich, Germany)

Zsofia Koma (Aarhus University, Denmark)

 

Supporting ISPRS Working Groups:
  • WG II/2 Point cloud acquisition and processing