World's Best Scientists 2026 revealed!
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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
17881
World Ranking
2868
National Ranking
25

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

George Vosselman is affiliated with the University of Twente in the Netherlands. Their research activity is mainly centered in the fields of Computer Science and Engineering, with a strong emphasis on subfields such as Computer Vision and Pattern Recognition, Environmental Engineering, Geology, Aerospace Engineering, and Computational Mechanics.

The main topics covered by their work include:

  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging

Vosselman has contributed numerous publications to several frequent venues, notably:

  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Remote Sensing
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Recent selected papers from Vosselman's research include:

  • "UAVid: A semantic segmentation dataset for UAV imagery" (2020), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management" (2020), published in Automation in Construction
  • "Active and incremental learning for semantic ALS point cloud segmentation" (2020), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks" (2020), published in Remote Sensing
  • "Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping" (2020), published in Remote Sensing

Frequent co-authors who have collaborated extensively with George Vosselman include:

  • Michael Ying Yang
  • Francesco Nex
  • Norman Kerle
  • Sander Oude Elberink
  • Claudio Persello

Best Publications

  • Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds

    George Sithole;George Vosselman

  • Airborne and Terrestrial Laser Scanning

    George Vosselman;Hans-Gerd Maas

  • SLOPE BASED FILTERING OF LASER ALTIMETRY DATA

    George Vosselman

  • Segmentation of point clouds using smoothness constraints

    T. Rabbani;F.A. van den Heuvel;G. Vosselman

  • 3D BUILDING MODEL RECONSTRUCTION FROM POINT CLOUDS AND GROUND PLANS

    George Vosselman;Sander Dijkman

  • Two algorithms for extracting building models from raw laser altimetry data

    Hans-Gerd Maas;George Vosselman

  • Recognising structure in laser scanning point clouds

    G. Vosselman;B.G.H. Gorte;G. Sithole;T. Rabbani

  • Knowledge based reconstruction of building models from terrestrial laser scanning data

    Shi Pu;George Vosselman

  • Recognizing basic structures from mobile laser scanning data for road inventory studies

    Shi Pu;Martin Rutzinger;George Vosselman;Sander Oude Elberink

  • Reconstruction of 3D building models from aerial images and maps

    Ildiko Suveg;George Vosselman

  • UAVid: A semantic segmentation dataset for UAV imagery

    Ye Lyu;George Vosselman;Gui-Song Xia;Alper Yilmaz

  • Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning

    Anand Vetrivel;Markus Gerke;Norman Kerle;Francesco Nex

  • Road tracing by profile matching and Kaiman filtering

    George Vosselman;Jurrien de Knecht

  • Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

    Unknown

  • An integrated approach for modelling and global registration of point clouds

    Tahir Rabbani;Sander Dijkman;Frank van den Heuvel;George Vosselman

  • Automatic extraction of building features from terrestrial laser scanning

    Shi Pu;G. Vosselman

  • FILTERING OF AIRBORNE LASER SCANNER DATA BASED ON SEGMENTED POINT CLOUDS

    George Sithole;George Vosselman

  • Report: ISPRS Comparison of Filters

    George Sithole;George Vosselman

  • Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping

    Sophie Crommelinck;Rohan Bennett;Markus Gerke;Francesco Nex

  • Relational matching

    G. Vosselman;J. Hartmanis;G. Goos

  • Building reconstruction by target based graph matching on incomplete laser data: analysis and limitations.

    Sander Oude Elberink;George Vosselman

Frequent Co-Authors

Claudio Persello
Claudio Persello University of Twente
Francesco Nex
Francesco Nex University of Twente
Jantien Stoter
Jantien Stoter Delft University of Technology
Michael Ying Yang
Michael Ying Yang University of Bath
Norman Kerle
Norman Kerle University of Twente
Sisi Zlatanova
Sisi Zlatanova University of New South Wales
Gui-Song Xia
Gui-Song Xia Wuhan University
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Hugo Ledoux
Hugo Ledoux Delft University of Technology
Harri Kaartinen
Harri Kaartinen University of Turku

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