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.
Latest News
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Coming soon: the next winter semester
June 17, 2020 -
John I. Davidson President’s Award for Gottfried Mandlburger
May 11, 2020 -
Prof. Dorigo in ORF radio news
April 16, 2020 -
ORF informs kids about our project Confirm
April 16, 2020 -
2019's best paper in the ISPRS Journal of Photogrammetry and Remote Sensing was by Schwarz, Mandlburger, Pfennigbauer, Pfeifer
March 23, 2020 -
ZDF reports on our "sleeping" trees research
Jan. 3, 2020 -
New dean, new head of department
Jan. 2, 2020
Latest Publications
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S. Zambanini, A. Loghin, N. Pfeifer, E. Soley, R. Sablatnig:
Detection of Parking Cars in Stereo Satellite Images
Remote Sensing, 12 (2020), 13; 2170-1 - 2170-24. [ More information ] -
R. Weiß, G. Mandlburger, T. Artz:
Erprobung des neuartigen Single-Photon-LiDAR-Messsystems Leica SPL100
Hydrographische Nachrichten, 116 (2020), 06/2020; 78 - 79. -
G. Mandlburger:
A review of airborne laser bathymetry for mapping of inland and coastal waters
Hydrographische Nachrichten (mit Begutachtung), 116 (2020), 06/2020; 6 - 15. -
M. Schütz, G. Mandlburger, J. Otepka, M. Wimmer:
Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures
Computer Graphics Forum, 39 (2002), 2; 51 - 64. [ More information ] -
M. Doneus, G. Mandlburger, N. Doneus:
Archaeological Ground Point Filtering of Airborne Laser Scan Derived Point-Clouds in a Difficult Mediterranean Environment
Journal of Computer Applications in Archaeology, 3 (2020), 1; 92 - 108. [ More information ]