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.
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
Congratulations, Dr. Milenkovic!
Feb. 27, 2018
Best Poster Award for Silvana Podaras
Jan. 30, 2018
M. Bruggisser, M. Hollaus, D. Wang, N. Pfeifer:
Adaptive Framework for the Delineation of Homogeneous Forest Areas Based on LiDAR Points
Remote Sensing, 11 (2019), 189-1 - 189-30.
V. Oniga, N. Pfeifer, A. Loghin:
3D Calibration Test-Field for Digital Cameras Mounted on Unmanned Aerial Systems (UAS)
Remote Sensing, 10 (2018), 12; 2017-1 - 2017-22. [ More information ]
M. Wieser, D. Wang, M. Hollaus, N. Pfeifer, G. Bronner:
UAS-Borne Laser Scanner Supporting Forest Inventory
Spectrum - Newsletter of the ISPRS Student Consortium, 11 (2018), 4; 7 - 8.
Gewässervermessung mittels aktiver und passiver optischer Fernerkundung
Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), begutachteter Beitrag, 106 (2018), 3; 195 - 206. [ More information ]
M. Vastaranta, X. Yu, V. Luoma, M. Karjalainen, N. Saarinen, M. Wulder, J. White, H. Persson, M. Hollaus, T. Yrttimaa, M. Holopainen, J. Hyyppä:
Aboveground forest biomass derived using multiple dates of WorldView-2 stereo-imagery: quantifying the improvement in estimation accuracy
International Journal of Remote Sensing, 39 (2018), 8766 - 8783.