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Dr. techn. Gottfried Mandlburger

Photo Gottfried Mandlburger
Adresse Institut für Photogrammetrie
Universität Stuttgart
Geschwister-Scholl-Str.24D
70174 Stuttgart
  +49 711 685 84112
  +49 711 685 83297
  4.343
email
Mitglied der Gruppe: Photogrammetrie und Computer Vision

 

Aktivitäten:

Publikationen

Verzeichnis der Schriften vor 2017

Begutachtete Zeitschriftenartikel

Milenković, M.; Ressl, C.; Karel, W.; Mandlburger, G. & Pfeifer, N. [2018]
Roughness Spectra Derived from Multi-Scale LiDAR Point Clouds of a Gravel Surface: A Comparison and Sensitivity Analysis. ISPRS Int. J. Geo-Inf. 2018, 7, 69.
DOI: 10.3390/ijgi7020069

Wieser, M.; Mandlburger, G.; Hollaus, M.; Otepka, J.; Glira, P. & Pfeifer, N. [2017]
A Case Study of UAS Borne Laser Scanning for Measurement of Tree Stem Diameter. Remote Sensing. 2017, 9, 1154.
DOI: 10.3390/rs9111154

Mandlburger, G. [2017]
Interaction of Laser Pulse with the Water Surface – Theoretical Aspects and Experimental Results. Allgemeine Vermessungsnachrichten (AVN) 11-12/2017, pp. 343-352. Wichmann Verlag Berlin.

Weitere Zeitschriftenartikel

Mandlburger , G. [2018]
Gewässervermessung mittels aktiver und passiver optischer Fernerkundung. VGI - Die Zeitschrift, 2018 - 106. Jahrgang, Heft 3/2018.

Mandlburger, G. [2018]
Gewässervermessung mittels aktiver und passiver Fernerkundungsverfahren. Vermessung & Geoinformation, 106. Jahrgang, Heft 1/2018, S. 28.

Begutachtete Tagungsbeiträge

Mandlburger, G. [2018]
A Case Study on Through-Water Dense Image Matching. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 659-666.
DOI: 10.5194/isprs-archives-XLII-2-659-2018

Mandlburger, G. & Jutzi, B. [2018]
Feasibility Investigation on Single Photon LiDAR Based Water Surface Mapping. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, pp. 109-116, 2018.
DOI: 10.5194/isprs-annals-IV-1-109-2018

Mandlburger, G.; Kremer, J.; Steinbacher, F. & Baran, R. [2018]
Investigating the Use of Coastal Blue Imagery for Bathymetric Mapping of Inland Water Bodies. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, pp. 275-282, 2018.
DOI: 10.5194/isprs-archives-XLII-1-275-2018

Mandlburger, G.; Pfeifer, N. & Soergel, U. [2017]
Water Surface Reconstruction in Airborne Laser Bathymetry from Redundant Bed Observations. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 123-130.
DOI: 10.5194/isprs-annals-IV-2-W4-123-2017

Mandlburger, G.; Wenzel, K.; Spitzer, A.; Haala, N.; Glira, P. & Pfeifer, N. [2017]
Improved Topographic Models via Concurrent Airborne Lidar and Dense Image Matching. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 259-266.
DOI: 10.5194/isprs-annals-IV-2-W4-259-2017

Eingeladene Tagungsbeiträge, Festschriften

Mandlburger, G. [2018]
A review of Airborne Laser Bathymetry sensors. Proc. of the 5th IAHR Europe Congress — New Challenges in Hydraulic Research and Engineering.
URL: http://rpsonline.com.sg/rps2prod/iahr2018/pdf/162.pdf

Mandlburger, G. [2017]
Bathymetry from active and passive airborne remote sensing – looking back and ahead. Invited presentation at the 56th Photogrammetric Week, Sep 11-15, 2017, Stuttgart, Germany.

Weitere Tagungsbeiträge

Cramer, M.; Haala, N.; Laupheimer, D.; Mandlburger, G. & Havel, P. [2018]
Ultra-high precision UAV-based LiDAR and Dense Image Matching. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115-120.
DOI: 10.5194/isprs-archives-XLII-1-115-2018

Sonstige Beiträge

Mandlburger, G. [2018]
Topography and Bathymetry via Laser Scanning and Multi-Spectral Imaging - From Sensors to Applications. Tutorial at the ISPRS TC I Symposium in Karlsruhe 2018.
URL: http://tc1-symposium2018.ipf.kit.edu/91.php