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.
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
H2020 Project - GATHERS was successfully kicked off at Wrocław University of Environmental and Life Sciences
Dec. 18, 2019
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 ]
S. Bachhofner, A. Loghin, J. Otepka, N. Pfeifer, M. Hornacek, A. Siposova, N. Schmidinger, K. Hornik, N. Schiller, O. Kähler, R. Hochreiter:
Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery
Remote Sensing, 12 (2020), 8; 1289-1 - 1289-36. [ More information ]
G. Mandlburger, M. Pfennigbauer, R. Schwarz, S. Flöry, L. Nussbaumer:
Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor
Remote Sensing, 12 (2020), 6; 986-1 - 986-28.
Evaluation of Single Photon and waveform LiDAR
Archives of Photogrammetry, Cartography and Remote Sensing, 31 (2020), 13 - 20.
A. Martinez‐Agirre, J. Álvarez-Mozos, M. Milenkovic, N. Pfeifer, R. Giménez, Valle, á. Rodríguez:
Evaluation of Terrestrial Laser Scanner and Structure from Motion photogrammetry techniques for quantifying soil surface roughness parameters over agricultural soils
Earth Surface Processes and Landforms, 45 (2020), 3; 605 - 621.