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Franz Rottensteiner

Franz Rottensteiner

D-Index & Metrics

Computer Science

D-Index
42
Citations
7466
World Ranking
8388
National Ranking
408

Overview

Franz Rottensteiner is affiliated with the University of Hannover in Germany. Their research primarily spans the fields of computer science and engineering, with significant contributions in subfields such as computer vision and pattern recognition, media technology, environmental engineering, ocean engineering, and aerospace engineering.

The research topics covered by Rottensteiner include remote-sensing image classification, remote sensing and LiDAR applications, advanced image and video retrieval techniques, robotics and sensor-based localization, automated road and building extraction, 3D surveying and cultural heritage, and video surveillance and tracking methods.

Frequent publication venues for their work comprise:

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

Rottensteiner has collaborated frequently with several researchers, including:

  • Christian Heipke (25 collaborations)
  • Dennis Wittich (10 collaborations)
  • Mareike Dorozynski (9 collaborations)
  • Max Mehltretter (8 collaborations)
  • Chun Yang (6 collaborations)

The following papers highlight their recent academic output:

  • "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)
  • "Feature detection and description for image matching: from hand-crafted design to deep learning" (2020), published in Geo-spatial Information Science
  • "Deep learning for geometric and semantic tasks in photogrammetry and remote sensing" (2020), published in Geo-spatial Information Science
  • "An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes" (2021), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Geospatial Information Research: State of the Art, Case Studies and Future Perspectives" (2022), published in PFG - Journal of Photogrammetry Remote Sensing and Geoinformation Science

Best Publications

  • Contextual classification of lidar data and building object detection in urban areas

    Joachim Niemeyer;Franz Rottensteiner;Uwe Soergel

  • The ISPRS benchmark on urban object classification and 3D building reconstruction

    Franz Rottensteiner;Gunho Sohn;Jaewook Jung;Markus Gerke

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

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

  • Using the Dempster–Shafer method for the fusion of LIDAR data and multi-spectral images for building detection

    Franz Rottensteiner;John C. Trinder;Simon Clode;Kurt Kubik

  • A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning

    M. Rutzinger;F. Rottensteiner;N. Pfeifer

  • Automatic generation of high-quality building models from lidar data

    F. Rottensteiner

  • Building detection by fusion of airborne laser scanner data and multi-spectral images : Performance evaluation and sensitivity analysis

    Franz Rottensteiner;John Trinder;Simon Clode;Kurt Kubik

  • AUTOMATIC GENERATION OF BUILDING MODELS FROM LIDAR DATA AND THE INTEGRATION OF AERIAL IMAGES

    F. Rottensteiner;Ch . Briese

  • 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

  • Detection and vectorization of roads from lidar data

    Simon Clode;Franz Rottensteiner;Peter J. Kootsookos;Emanuel E. Zelniker

  • The Automatic Extraction of Roads from LIDAR data

    Simon Clode;Peter J. Kootsookos;Franz Rottensteiner

  • Contextual segment-based classification of airborne laser scanner data

    George Vosselman;Maximilian Coenen;Franz Rottensteiner

  • Automated delineation of roof planes from LIDAR data

    F. Rottensteiner;J. Trinder;S. Clode;K. K. T. Kubik

  • CONDITIONAL RANDOM FIELDS for LIDAR POINT CLOUD CLASSIFICATION in COMPLEX URBAN AREAS

    J. Niemeyer;F. Rottensteiner;U. Soergel

  • CONTEXTUAL CLASSIFICATION OF POINT CLOUD DATA BY EXPLOITING INDIVIDUAL 3D NEIGBOURHOODS

    M. Weinmann;Alena Schmidt;C. Mallet;Stefan Hinz

  • Information from imagery: ISPRS scientific vision and research agenda

    Jun Chen;Ian Dowman;Songnian Li;Zhilin Li

  • AUTOMATIC EXTRACTION OF BUILDINGS FROM LIDAR DATA AND AERIAL IMAGES

    F. Rottensteiner;J. Jansa

  • Building Detection Using LIDAR Data and Multispectral Images

    Franz Rottensteiner;John C. Trinder;Simon Clode;Kurt Kubik

  • Development and testing of a generic sensor model for pushbroom satellite imagery

    Thomas Weser;Franz Rottensteiner;Jochen Willneff;Joanne Poon

  • Conditional Random Fields for Multitemporal and Multiscale Classification of Optical Satellite Imagery

    Thorsten Hoberg;Franz Rottensteiner;Raul Queiroz Feitosa;Christian Heipke

Frequent Co-Authors

Christian Heipke
Christian Heipke University of Hannover
Jan Dirk Wegner
Jan Dirk Wegner University of Zurich
Clive S. Fraser
Clive S. Fraser University of Melbourne
Uwe Stilla
Uwe Stilla Technical University of Munich
Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Jörn Ostermann
Jörn Ostermann University of Hannover
Michael Ying Yang
Michael Ying Yang University of Bath
Hugo Ledoux
Hugo Ledoux Delft University of Technology
Monika Sester
Monika Sester University of Hannover

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