Welcome to the Photogrammetry Group
Photogrammetry is the art, science, and technology of obtaining geometric information on the 3-dimensional shape and orientation of objects from photographs and other imaging sensors. Geophysical quantities and textural information may be extracted additionally. We focus on digital photographs, range images, and point clouds in general. These are acquired from terrestrial, airborne and spaceborne platforms, using photogrammetric and amateur cameras as well as laser scanners. By investigating the measurement process, appropriate geometric and radiometric calibration methods are developed and, consequently, insight into the properties and the quality of geodata is obtained. Subsequently, models of our three dimensional environment are reconstructed automatically. This approach is seen as fundamental prerequisite for successful application of Earth Observation in topography, hydrology, forestry and related sciences which are studied together with experts in those fields.
PhD defense Ana Puttonen
June 17, 2019
DI Lukas Winiwarter wins Karl Kraus Preis
Feb. 26, 2019
Best Paper Honourable Mention at ISPRS symposium
Oct. 30, 2018
Best Paper Award 2017 for Forkel, Vreugdenhil and Wieser
Oct. 30, 2018
Sept. 21, 2018
Review: GEO-Tag 2018
June 20, 2018
Best Presentation Award for Lukas Winiwarter
June 11, 2018
E. Puttonen, M. Lehtomäki, P. Litkey, R. Näsi, Z. Feng, X. Liang, S. Wittke, M. Pandzic, T. Hakala, M. Karjalainen, N. Pfeifer:
A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series
Frontiers in Plant Science, 10 (2019), 486; 1 - 14. [ More information ]
Lidar and Photo: differences and integrated processing
Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), 107 (2019), 2; 136 - 146.
N. Höggerl, F. Helm, N. Pfeifer:
Österreichische Geodätische Kommission - Beratungsorgan der Politik in Österreich - Aufgaben und Arbeitsweise
Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), 107 (2019), 2; 124 - 135.
Through-Water Dense Image Matching for Shallow Water Bathymetry
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 85 (2019), 6; 445 - 454.
M. Wimmer, N. Pfeifer, M. Hollaus:
Automatic Detection of Potential Dam Locations in Digital Terrain Models
ISPRS International Journal of Geo-Information, 8 (2019), 4; 197-1 - 197-14.