Research output per year
Research output per year
Organisation profile
Organisation profile
The Institute of Remote Sensing and Photogrammetry consists of 6 members and covers a wide range of expertise in the field of remote sensing and photogrammetry. The work of the Institute is focused on the application of various remote sensing techniques in the field of geosciences. This includes airborne (laserscanner data, airborne scanner data and aerial photos) and space borne remotely sensed data. Major applications are high mountain cartography, hazard mapping, glacier monitoring and forest monitoring. Another working area of the Institute is the application of close-range photogrammetry and terrestrial laser scanning in the field of documentation of cultural heritage, engineering projects and monitoring of glaciers, rock glaciers and landslides. Many projects are carried out in close co-operation with national and international organizations.
Teaching comprises various courses of under-graduate and graduate level within Geomatics Engineering, Geomatics Science, and the university course “Space Sciences”.
The Institute runs a dedicated computer lab for teaching and is well equipped with appropriate hardware (e.g., digital photogrammetric workstations, analytical stereoplotter, and analog and digital camera equipment for terrestrial photogrammetry) and software (e.g., Erdas Imagine and ArcInfo) to carry out application oriented projects and research work.
Short Description:
The Institute of Remote Sensing and Photogrammetry covers a wide range of expertise in the field of remote sensing and photogrammetry such as application of various remote sensing techniques in the field of geosciences, e.g. airborne and space borne remotely sensed data. Major applications are high mountain cartography, hazard mapping, glacier monitoring and forest monitoring, and furthermore the application of close-range photogrammetry and terrestrial laser scanning in the field of documentation of cultural heritage, engineering projects and monitoring of glaciers, rock glaciers and landslides.
Teaching comprises various courses of under-graduate and graduate level within Geomatics Engineering, Geomatics Science, and the university course “Space Sciences”.
The Institute runs a dedicated computer lab for teaching and is well equipped with appropriate hardware (e.g., digital photogrammetric workstations, analytical stereoplotter, and analog and digital camera equipment for terrestrial photogrammetry) and software (e.g., Erdas Imagine and ArcInfo) to carry out application oriented projects and research work.
Short Description:
The Institute of Remote Sensing and Photogrammetry covers a wide range of expertise in the field of remote sensing and photogrammetry such as application of various remote sensing techniques in the field of geosciences, e.g. airborne and space borne remotely sensed data. Major applications are high mountain cartography, hazard mapping, glacier monitoring and forest monitoring, and furthermore the application of close-range photogrammetry and terrestrial laser scanning in the field of documentation of cultural heritage, engineering projects and monitoring of glaciers, rock glaciers and landslides.
Fingerprint
Dive into the research topics where Working Group Remote Sensing and Photogrammetry (5222) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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Proceedings of the Joint Austrian Computer Vision and Robotics Workshop
Roth, P. M. (Editor), Steinbauer, G. (Editor), Fraundorfer, F. (Editor), Brandstötter, M. (Editor) & Perko, R. (Editor), 27 Jul 2020, Graz: Verlag der Technischen Universität Graz.Research output: Book/Report › Anthology
Open Access -
Deep Learning based single tree species classification using ALS data
Mustafic, S. & Schardt, M., 8 Oct 2019.Research output: Contribution to conference › Poster › peer-review
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Deep Learning-basierte Baumartenklassifizierung auf Basis von ALS-Daten
Mustafic, S. & Schardt, M., 20 Feb 2019, Dreiländertagung 2019, Photogrammetrie, Fernerkundung und Geoinformation, OVG – DGPF – SGPF. Vol. 28. p. 527-536 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Activities
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Deep Learning-basierte Baumartenklassifizierung auf Basis von ALS-Daten
Mustafic, S. (Speaker)
20 Feb 2019 → 22 Feb 2019Activity: Talk or presentation › Talk at conference or symposium › Science to public
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Deep Learning based single tree species classification using ALS data
Mustafic, S. (Speaker)
8 Oct 2019 → 10 Oct 2019Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Deep-Learning-basierte Baumartenklassifizierung auf Basis von multitemporalen ALS-Daten
Mustafic, S. (Speaker)
3 Jul 2019 → 5 Jul 2019Activity: Talk or presentation › Talk at conference or symposium › Science to public
Prizes
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Best Poster Award
Strauß, C. (Recipient), Stiermeier, A. (Recipient) & Hollinger, G. (Recipient), 7 Jul 2011
Prize: Prizes / Medals / Awards
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European Satellite Navigation Competition 2013 Galileo Master
Hollinger, G. (Recipient) & Strauß, C. (Recipient), 5 Nov 2013
Prize: Prizes / Medals / Awards
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Ideenwettbewerb des Science Park Graz/Sonderpreis Beste Einreichung der TU Graz
Prüller, R. (Recipient) & Schöggl, F. (Recipient), 21 Mar 2013
Prize: Prizes / Medals / Awards
Projects
- 55 Finished
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RemoteNav - Remote Sensing Based Navigation in Remote Areas
Prüller, R. (Attendee / Assistant) & Schardt, M. (Consortium manager resp. coordinator with external organisations)
1/01/15 → 31/12/16
Project: Research project
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JPI Climate - Austrian Participation in the JPI Climate Module "Researching and Advancing Service Development"
1/11/13 → 15/05/14
Project: Research project
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I-Game NG - Integrated Telemetry and GIS System for Wildlife Management Next Generation
Prüller, R. (Attendee / Assistant)
1/11/11 → 30/04/13
Project: Research project