Working Groups of ISPRS Commission II


WG II/1 - Image Orientation

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 Chair Co-Chair Co-Chair Secretary
Cyrill Stachniss Andrea Fusiello Ronny Hänsch Mozhdeh Shahbazi
Photogrammetry, IGG
University of Bonn
+49 - 228 - 73 - 27 13
Dipartimento Politecnico di Ingegneria e Architettura
Università degli Studi di Udine
+39 0432 558327
SAR Technology
German Aerospace Center
+49 8153 - 28 3975
Department of Geomatics Engineering
University of Calgary and Centre de géomatique du Québec
Calgary and Saguenay
+1 403 210 7710
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 Industrial Representative Key Member  
Michael Gruber Yongjun Zhang   
Vexcel Imaging GmbH
+43 664 882 388 08
School of Remote Sensing and Information Engineering
Wuhan University
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WG II/1 Terms of Reference

  • Orientation of non-conventional image sources, i.e. oblique images, cameras with rolling shutter, crowd-sourced images
  • Feature extraction and stereo/multi-view sparse matching
  • Image alignment and applications such as mosaicking, denoising, deblurring, super resolution, etc.
  • Direct and indirect geo-referencing
  • Intrinsic/extrinsic camera calibration including methods based on single images, online approaches, or handling ambiguous and degenerate configurations
  • Structure from Motion and SLAM
  • Geometric/algebraic computer vision, multi-image geometry, and modern approaches to Bundle Adjustment, e.g. large-scale or structureless BA
  • Evaluation of performance, reliability, robustness and generality of methods



WG II/2 - Point Cloud Generation

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 Chair Co-Chair Co-Chair Industrial Representative
Norbert Haala Mathias Rothermel Pablo d'Angelo Chritoph.Strecha
Institute for Photogrammetry
University of Stuttgart
+61 3 9925 9628
nFrames GmbH
Kornbergstraße 36
70176 Stuttgart
+49 711 99788728
German Aerospace Center (DLR)
Remote Sensing Technology Institute
+49 08153 28 3593
Pix4D SA
+41 21 552 05 96
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WG II/2 Terms of Reference

  • Stereo and Multi-View-Stereo approaches for terrestrial / UAV / aerial / spaceborne imagery
  • Methods for mesh generation
  • Filtering, fusion and integration of point clouds from different data sources or sensors for surface reconstruction
  • Quality and performance evaluation of point cloud generation with respect to computational complexity, precision, robustness and scalability of methods



WG II/3 - Point Cloud Processing

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 Chair Co-Chair Co-Chair Secretary
Jan Boehm Bisheng Yang Mathieu Brédif Martin Kada
Department of Civil, Environmental and Geomatic Engineering
University College London
United Kingdom
+44 (0)20 3108 1036
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS)
Wuhan University
+86 27 6877 9699
MATIS Laboratory
Institut Géographique National (IGN)
Saint-Mandé CEDEX
+33 1 43 98 83 19
Institut für Geodäsie und Geoinformationstechnik
TU Berlin
+49 30 314 23274
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WG II/3 Terms of Reference

  • Development of new methodologies, algorithms and applications for point cloud processing
  • Information extraction from point clouds, including low-level feature extraction, segmentation and classification
  • Point cloud registration and fusion
  • Cloud Computing and high-performance computing for massive point cloud processing
  • Geospatial Big Data processing for point clouds
  • Point cloud rendering and streaming for massive point clouds
  • Point cloud processing for building information modelling (BIM)
  • Ubiquitous point cloud sensing



WG II/4 - 3D Scene Reconstruction and Analysis

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 Chair Co-Chair Co-Chair Secretary
Franz Rottensteiner Bruno Vallet Markus Gerke Martin Weinmann
Institute of Photogrammetry and GeoInformation
Leibniz Universität Hannover
30167 Hannover
+49 511 762 3893
MATIS Laboratory
Institut Géographique National (IGN)
Saint-Mandé CEDEX
+33 1 4398 8081
Institute of Geodesy and Photogrammetry
Technische Universität Braunschweig
Pockelsstraße 3
DE-38106 Braunschweig
+49 531/ 391–945 70
Institute of Photogrammetry and Remote Sensing
Karlsruhe Institute of Technology (KIT)
Englerstraße 7
76131 Karlsruhe
+49 721 608 47302
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WG II/4 Terms of Reference

  • Models and techniques for extracting features, geometrical primitives and objects from data acquired by airborne and/or terrestrial sensors, including object recognition and 3D object reconstruction, and possibly integrating information about multiple object classes and their relations within complex scenes.
  • Classification and semantic segmentation of point clouds and surface meshes with or without radiometric information.
  • Generation and update of high-resolution 3D city models and road databases, including mesh based, polyhedral, parametric and multiscale representations possibly with level-of-detail (LOD) and (semantic) attributes, and texturing of the resultant 3D models. 
  • Object detection, recognition and 3D reconstruction in the context of robotics or autonomous driving.
  • Multimodal data fusion: performing any of the tasks mentioned above by exploiting the complementarity of using different viewpoints (space-borne, nadir/oblique aerial, UAV, fixed/mobile terrestrial), different sensor types (monoscopic/stereoscopic images, LiDAR, (In)SAR), and existing data (traditional cartographic products, CAD models, urban GIS).
  • Assessment of efficiency and quality and of their dependence on the quality of the input data, including uncertainty analysis and uncertainty propagation, for any of the tasks mentioned above.



WG II/5 - Dynamic Scene Analysis

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 Chair Co-Chair Co-Chair Secretary
Alper Yilmaz Michael Ying Yang Yury Vizilter Siavash Hosseinyalamdary
Photogrammetric Computer Vision Lab
The Ohio State University
+1 614-247-4323
ITC - Faculty of Geo-Information Science and Earth Observation
University of Twente
+31 53 489 2916
GosNIIAS - The Federal State Unitary Enterprise
"State Research Institute of Aviation Systems"
Moscow Viktorenko 7
+7 499-157-9498
ITC - Faculty of Geo-Information Science and Earth Observation
University of Twente
+31 53 489 3921
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 Industrial Representative   
Kent Kahle    
Engineering & Business Development
Trimble Navigation Inc.


WG II/5 Terms of Reference

  • Videogrammetry
  • Dynamic scene understanding from image sequences.
  • Models and methods to determine ego-motion for photogrammetric and computer vision applications including but not limited to navigation, geo-referencing and object reconstruction.
  • Detection, reconstruction, classification and tracking of single and multiple objects in image sequences
  • Event reconstruction and scene analysis from single and multiple image streams.
  • Offline and real-time 3D processing of image sequences (MOCAP system, mobile mapping, etc.)
  • Quality assessment techniques for calibration, orientation and object detection from image sequences
  • Benchmarking of object detection and semantic segmentation from image sequences
  • Change detection in image time-series and/or 3D point clouds



WG II/6 - Large-scale Machine Learning for Geospatial Data Analysis

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 Chair Co-Chair Co-Chair Secretary
Jan Dirk Wegner Ribana Roscher Michele Volpi Clément Mallet
Photogrammetry & Remote Sensing
ETH Zurich
+41 44 633 68 08
Remote Sensing
University of Bonn
+49 228 73 2716
Swiss Data Science Center
ETH Zurich
+41 44 632 80 45
Univ. Paris Est
+33 1 43 98 84 36
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 Industrial Representative Industrial Representative  
Wolfgang Steinborn Michaela Neumann   
Rudolf-Hahn-Str. 152
53227 Bonn
+49 228 4339581
+49 228 461256
European Space Imaging
Arnulfstrasse 199
80634 Munich
+49 89 130142 0
+49 89 130142 22
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WG II/6 Terms of Reference

  • Large-scale image classification,
  • Machine learning, deep learning,
  • Pixel-wise semantic segmentation at large-scale,
  • Supervised, weakly supervised, transfer, and human-in-the-loop learning
  • Multi-view, multi-temporal, multi-modal image interpretation
  • Change detection and environmental / urban monitoring



WG II/7 - Vision Metrology

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 Chair Co-Chair Co-Chair Secretary
Stephen Kyle Stuart Robson Thomas Luhmann Erica Nocerino
Department of Civil, Environmental and Geomatic Engineering
University College London
+44 1481 253057
Department of Civil, Environmental and Geomatic Engineering
University College London
+44 207 679 2726
Institute for Applied Photogrammetry and Geoinformatics
Jade University of Applied Sciences
+49 441 7708 3172
LIS laboratory - Laboratoire d'informatique et Systèmes
I&M Team, Images & Models
Aix Marseille Univ, Université de Toulon, CNRS
POLYTECH, Luminy, Bat. A
case 925, 163 avenue de Luminy
13288 Marseille cedex 9
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WG II/7 Terms of Reference

  • Performance evaluation of active and passive systems
  • Definition of accuracy and best practice
  • Contribution to international standards
  • System developments and industrial applications
  • Very close range and large volume measurement applications
  • Camera-controlled robot and machine guidance
  • Measurement of dynamic processes
  • Structural deformation analysis
  • Medical systems and applications
  • Greater involvement of industrial partners in ISPRS activities



WG II/8 - Data Acquisition and Processing in Cultural Heritage

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 Chair Co-Chair Co-Chair Secretary
Fulvio Rinaudo Diego Gonzalez-Aguilera Geert Verhoeven Francesco Fassi
Department of Architecture & Design
Politecnico di Torino
Viale A. Mattioli, 39
+39 331 6714787
TIDOP Research Unit
Higher Polytechnic School of Avila
University of Salamanca
+34 920 353500
LBI ArchPro
Ludwig Boltzmann Gesellschaft GmbH
Franz-Klein-Gasse 1/III
+43 699 1520 6509
ABC Department
Politecnico di Milano
+39 02 2399 6532
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WG II/8 Terms of Reference

  • Development and promotion of data acquisition strategies, data processing techniques and data management solutions (such as the spatial information systems GIS and BIM) applicable to all subjects that can be categorized as cultural heritage.
  • Integration of data and measurement techniques supporting metric and remote sensing surveys, and monitoring actions for the valorization, conservation, restoration and archiving of archeological, architectural, urban and natural landscape heritage.
  • Development and dissemination of best practice protocols to aid appropriate application across related cultural heritage fields.
  • Development and promotion of low-cost, rapid, innovative, automated, commercial and open-source approaches for metric and remote sensing survey of heritage assets.
  • Development of both virtual and augmented reality as well as online applications and advanced visualization systems to promote the dissemination and the correct use of 3D metric surveys.
  • Close co-operation with related disciplines, national / international groups (e.g. CIPA, EAA, ICOMOS etc.) and other ISPRS working groups



WG II/9 - Underwater Data Acquisition and Processing

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 Chair Co-Chair Co-Chair Secretary
Fabio Menna Mark Shortis Dimitrios Skarlatos Panagiotis Agrafiotis
3DOM - 3D Optical Metrology Unit
FBK - Bruno Kessler Foundation
via Sommarive 18
38123 Povo-Trento
+39 0461 314446
School of Science
RMIT University
+61 3 9925 9628
Dept. of Civil Eng. & Geomatics
Cyprus University of Technology
+357 25002360
Lab. of Photogrammetry
School of Rural and Surveying Engineering
National Technical University of Athens
+30 2107722687
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 Key Support Personnel Key Support Personnel Industrial Representative 
Higinio González Jorge Patrick Westfeld Rustom Jehangir  
Department of Natural Resources and Environmental Engineering
University of Vigo
34 986818752
Federal Maritime and Hydrographic Agency (BSH)
Section Marine Geodesy, Automation, Bathymetry
+49 381 4563-603
Blue Robotics
4030 Spencer St.
Torrance, CA 90503
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WG II/9 Terms of Reference

  • Definition of best practice for geometric calibration, color correction and validation of systems for underwater 3D measurements
  • Geometric and stochastic modeling of multimedia geometry for underwater image and range measurements
  • Lidar bathymetry for seafloor and water surface measurement
  • Algorithms and methods for underwater localization and navigation used in ROVs, AUVs and augmented and virtual reality applications
  • Combined above water, through water and underwater techniques for 3D modeling of artefacts and mapping of coastal areas
  • Integration and performance evaluation of platforms such as ROVs, AUVs, towed bodies and diver controlled systems
  • Underwater applications and techniques in archaeology, 3D/2D mapping, modeling and visualization, biomass estimation, habitat monitoring, metrology, inspections and volumetric reconstruction for flow tracking



WG II/10 - 3D Mapping for Environmental & Infrastructure Monitoring

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 Chair Co-Chair Co-Chair Secretary
Roderik Lindenbergh Martin Rutzinger Vladimir Knyaz Belén Riveiro
Delft University of Technology
Department of Geoscience & Remote Sensing
The Netherlands
+31 15 27 87649
Institute for Interdisciplinary Mountain Research
Austrian Academy of Sciences
+43 512 507 49480
Machine vision department
State research Institute of Aviation Systems
+7 499 157 3127
Applied Geotechnologies group
Dept. Materials Engineering, Applied Mechanics and Construction
University of Vigo
+34 986 130 151
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 Key Support Personnel Industrial Representative  
Daniel Wujanz Christoph Held   
Institute of Geodesy and
Geoinformation Science
Technische Universität Berlin
+49 30 314 22374
Zoller & Fröhlich GmbH
Simoniusstrasse 22
88239 Wangen im Allgäu
+49 (0) 7522 9308-548
  home page   


WG II/10 Terms of Reference

  • Improve  methodology for 3D mapping and monitoring of geohazards, geomorphology and vegetation
  • Study and promote  the use of 3D photogrammetric techniques for inspection and life cycle monitoring of  infrastructures like bridges, buildings, dikes, and to improve on the integration with structural component analysis
  • Analyse, share and promote best 3D approaches and results in biomedical applications in collaboration with the biomedical society
  • Study techniques for near-continuous spatio-temporal 3D monitoring of environmental, infrastructural and biomedical processes.
  • Evaluation and integration of new 3D and 2D imaging sensors for the purpose of 3D mapping for environmental and infrastructure monitoring



ICWG II/III - Pattern Analysis in Remote Sensing

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 Chair Co-Chair Co-Chair Secretary
Uwe Stilla Jie Shan Devis Tuia Ludwig Hoegner
Technische Universitaet Muenchen
Photogrammetry & Remote Sensing
+49 89 289 22670
Purdue University
School of Civil Engineering
550 Stadium Mall Drive
West Lafayette, IN
+1 765 494 2168
Laboratory of Geo-information Science and Remote Sensing
Department of Environmental Sciences
Wageningen University
The Netherlands
+31 317489403
Technische Universitaet Muenchen
Photogrammetry & Remote Sensing
+49 89 289 22680
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ICWG II/III Terms of Reference

  • Automatic identification and learning of 2D and 3D patterns in uni-modal and multi-modal remote sensing data, e.g. multi-scale aerial and satellite data; multi- and hyperspectral data; SAR-, radargrammetric and SAR-tomography data
  • Automatic identification and learning of temporal patterns in remote sensing data, e.g. image-based flow estimation and learning from InSAR data (traffic, glaciers, currents, etc.); analysis-by-synthesis approaches for motion and deformation modeling with passive and active sensors
  • Integration of radiometry and radiometric models into pattern recognition; radiometrically enhanced object models for range-intensity images and sequences; integration of SAR-simulation into SAR-image and analysis
  • Recognition of 2D and 3D patterns in remote sensing data exploiting 3d and 4d models (GIS / CAD / BIM )