World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9411
World Ranking
7505
National Ranking
143

Overview

Jan Dirk Wegner is affiliated with the University of Zurich in Switzerland. Their research focuses primarily on environmental science, with significant contributions to related subfields such as ecology, global and planetary change, environmental engineering, computer vision and pattern recognition, and artificial intelligence.

The scientist's work spans various topics, including remote sensing in agriculture, remote sensing and LiDAR applications, species distribution and climate change, flood risk assessment and management, 3D surveying and cultural heritage, 3D shape modeling and analysis, and plant water relations and carbon dynamics.

Notable recent publications by Jan Dirk Wegner include:

  • A high-resolution canopy height model of the Earth (2023), published in Nature Ecology & Evolution
  • Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles (2021), published in Remote Sensing of Environment
  • Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities (2022), published in IEEE Geoscience and Remote Sensing Magazine
  • The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo (2021), published in Zurich Open Repository and Archive (University of Zurich)
  • Cocoa plantations are associated with deforestation in Côte d'Ivoire and Ghana (2023), published in Nature Food

Frequent co-authors who have collaborated extensively with Wegner include Konrad Schindler, Stefano D'Aronco, Nico Lang, Vivien Sainte Fare Garnot, and Nikolai Kalischek.

Wegner's research has been published widely across several venues, with a concentration in repositories and journals such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the ISPRS Journal of Photogrammetry and Remote Sensing, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, and the Zurich Open Repository and Archive (University of Zurich).

Best Publications

  • SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK

    Timo Hackel;Nikolay Savinov;Lubor Ladicky;Jan Dirk Wegner

  • Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection

    Dimitrios Marmanis;Dimitrios Marmanis;Konrad Schindler;Jan Dirk Wegner;Silvano Galliani

  • The Perfect Match: 3D Point Cloud Matching With Smoothed Densities

    Zan Gojcic;Caifa Zhou;Jan D. Wegner;Andreas Wieser

  • Results of the ISPRS benchmark on urban object detection and 3D building reconstruction

    Franz Rottensteiner;Gunho Sohn;Markus Gerke;Jan Dirk Wegner

  • Learning Aerial Image Segmentation From Online Maps

    Pascal Kaiser;Jan Dirk Wegner;Aurelien Lucchi;Martin Jaggi

  • SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

    Dimitrios Marmanis;Dimitrios Marmanis;Jan D. Wegner;Silvano Galliani;Konrad Schindler

  • FAST SEMANTIC SEGMENTATION OF 3D POINT CLOUDS WITH STRONGLY VARYING DENSITY

    Timo Hackel;Jan D. Wegner;Konrad Schindler

  • Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

    Nico Lang;Nikolai Kalischek;John Armston;Konrad Schindler

  • Keypoint-based 4-Points Congruent Sets – Automated marker-less registration of laser scans

    Pascal Willy Theiler;Jan Dirk Wegner;Konrad Schindler

  • A Higher-Order CRF Model for Road Network Extraction

    Jan D. Wegner;Javier A. Montoya-Zegarra;Konrad Schindler

  • Contour Detection in Unstructured 3D Point Clouds

    Timo Hackel;Jan D. Wegner;Konrad Schindler

  • The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo

    Michael Kölle;Dominik Laupheimer;Stefan Schmohl;Norbert Haala

  • Country-wide high-resolution vegetation height mapping with Sentinel-2

    Nico Lang;Konrad Schindler;Jan Dirk Wegner

  • Cataloging Public Objects Using Aerial and Street-Level Images — Urban Trees

    Jan D. Wegner;Steve Branson;David Hall;Konrad Schindler

  • Learning Multiview 3D Point Cloud Registration

    Zan Gojcic;Caifa Zhou;Jan D. Wegner;Leonidas J. Guibas

  • Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities

    Unknown

  • Topological Map Extraction From Overhead Images

    Zuoyue Li;Jan Dirk Wegner;Aurelien Lucchi

  • From Google Maps to a fine-grained catalog of street trees

    Steve Branson;Jan Dirk Wegner;David Hall;Nico Lang

  • Crop mapping from image time series: deep learning with multi-scale label hierarchies

    Mehmet Ozgur Turkoglu;Stefano D'Aronco;Gregor Perich;Frank Liebisch

  • Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images

    Piotr Tokarczyk;Jan Dirk Wegner;Stefan Walk;Konrad Schindler

  • Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling

    Maros Blaha;Christoph Vogel;Audrey Richard;Jan D. Wegner

  • Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields

    J D Wegner;Ronny Hänsch;A Thiele;U Soergel

Frequent Co-Authors

Franz Rottensteiner
Franz Rottensteiner University of Hannover
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Christian Heipke
Christian Heipke University of Hannover
Pietro Perona
Pietro Perona California Institute of Technology
Marc Pollefeys
Marc Pollefeys ETH Zurich
Mihai Datcu
Mihai Datcu German Aerospace Center
Uwe Stilla
Uwe Stilla Technical University of Munich
Leonidas J. Guibas
Leonidas J. Guibas Stanford University

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