Prof. Dr.-Ing. Andreas Wichmann

Professur für Kartographie und Geovisualisierung
Mail:
Telefon: +49 441 7708 - 3748
Raum: G 210

Artikel und Bücher

Albers, Bastian; Kada, Martin; Wichmann, Andreas (2016): Automatic Extraction and Regularization of Building Outlines from Airborne LiDAR Point Clouds. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: https://doi.org/10.5194/isprs-archives-XLI-B3-555-2016 , Weblink
Wichmann, Andreas; Kada, Martin (2016): Joint Simultaneous Reconstruction of Regularized Building Superstructures from Low-Density LiDAR Data Using ICP. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: https://doi.org/10.5194/isprs-annals-III-3-371-2016 , Weblink
Jung, Jaewook; Sohn, Gunho; Bang, Kiin; Wichmann, Andreas; Armenakis, Costas; Kada, Martin (2016): Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing. Sensors , doi: https://doi.org/10.3390/s16060932 , Weblink
Filippovska, Yevgeniya; Wichmann, Andreas; Kada, Martin (2016): Space Partitioning for Privacy Enabled 3D City Models. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: https://doi.org/10.5194/isprs-archives-XLII-2-W2-17-2016 , Weblink
Babacan, Kivanc; Jung, Jaewook; Wichmann, Andreas; Jahromi, Ali Baligh; Shahbazi, Mozhdeh; Sohn, Gunho; Kada, Martin (2016): Towards Object Driven Floor Plan Extraction from Laser Point Cloud. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: https://doi.org/10.5194/isprs-archives-XLI-B3-3-2016 , Weblink

Preise und Auszeichnungen

  • ASPRS Esri Award for Best Scientific Paper in GIS (2020)
    American Society for Photogrammetry and Remote Sensing (ASPRS)
  • ISPRS Best Paper Award (2018)
    International Society for Photogrammetry and Remote Sensing (ISPRS)
  • AOLS Best Poster Award (2016)
    Association of Ontario Land Surveyors (AOLS)

Lehre

  • Geobasisdaten
  • Kartographie
  • Kartographische Informationsverarbeitung
  • Projekt Visualisierung
  • Seminar Kartographie
  • Web Engineering

Abschlussarbeiten


Untersuchung zur Qualität von amtlichen LoD2-Gebäudemodellen anhand von 3D-Punktwolken (2020/2)