You are here: Home → Publikationen → 2019 → Geodäsie / Geodesy

Geodäsie / Geodesy

  • Dehbi Y, Lucks L, Behmann J, Klingbeil L, Plümer L (2019)
    Improving GPS trajectories using 3D city models and kinematic point clouds
    ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4/W9, 35–42
    https://doi.org/10.5194/isprs-annals-IV-4-W9-35-2019
  • Halsig S, Bertarini A, Haas R, Iddink A, Kodet J, Kronschnabl G, Neidhardt A, Nothnagel A, Plötz C, Schüler T (2019)
    Atmospheric Refraction and System Stability Investigations in Short-Baseline VLBI Observations
    J Geod, 93(4), 593-614
    https://doi.org/10.1007/s00190-018-1184-5
  • Han S, Nothnagel A, Zhang Z, Haas R, Zhang Q (2019)
    Fringe fitting and group delay determination for geodetic VLBI observations of DOR tones
    Advances in Space Research, 63(5):1754-1767
    https://doi.org/10.1016/j.asr.2018.11.018
  • Han S, Zhang Z, Sun J, Cao J, Chen L, Lu W, Li W (2019)
    Lunar Radiometric Measurement Based on Observing China Chang’E-3 Lander with VLBI—First Insight
    Advances in Astronomy, Vol. 2019, Article ID 7018620, 10 p.
    https://doi.org/10.1155/2019/7018620
  • Heinz E, Eling C, Klingbeil L, Kuhlmann H (2019)
    Monitoring the planarity and subsidence of a motorway using kinematic laser scanning
    4th Joint International Symposium on Deformation Monitoring (JISDM), May 15-17, 2019, Athens, Greece
  • Heinz E, Holst C, Kuhlmann H (2019)
    Zum Einfluss der räumlichen Auflösung und verschiedener Qualitätsstufen auf die Modellierungsgenauigkeit einer Ebene beim terrestrischen Laserscanning
    Allgemeine Vermessungs-Nachrichten (AVN) 126(1-2): 3-12
  • Holst C, Medic T, Blome M, Kuhlmann H (2019)
    TLS-Kalibrierung: in-situ und/oder a priori?
    Holst, C., Medic, T., DVW e.V. (Hrsg): Terrestrisches Laserscanning 2019 (TLS 2019). DVW-Schriftenreihe ; 96, Augsburg: Wißner Verlag: 89-104
  • Holst C, Medic T, Nothnagel A, Kuhlmann H (2019)
    Analyzing shape deformation and rigid body movement of structures using commonly misaligned terrestrial laser scanners: the radio telescope case
    4th Joint International Symposium on Deformation Monitoring (JISDM) 2019, 15-17 May, Athens, Greece
  • Holst C, Nothnagel A, Haas R, Kuhlmann,H (2019)
    Investigating the gravitational stability of a radio telescope's reference point using a terrestrial laser scanner: Case study at the Onsala Space Observatory 20-m radio telescope
    ISPRS Journal of Photogrammetry and Remote Sensing Volume 149, March 2019, Pages 67-76
    https://doi.org/10.1016/j.isprsjprs.2019.01.010
  • Holst, Christoph (2019)
    Terrestrisches Laserscanning 2019: Von großen Chancen, großen Herausforderungen und großen Radioteleskopen
    ZfV : Zeitschrift für Geodäsie, Geoinformation und Landmanagement, Wißner Verlag, ISSN(s): 1618-8950, Heft 2/2019, S. 94-108
  • Honecker A, Schumann H, Becirevic D, Klingbeil L, Volland K, Forberig S, Paulsen H, Kuhlmann H, Léon J (2019)
    Image based phenotyping for wheat vitality
    7th International Workshop on Image Analysis Methods for the Plant Sciences 2019, Lyon
  • Janßen J, Holst C, Kuhlmann H (2019)
    Zielzeichenbasierte Registrierung von Laserscans: Erhöhung der Genauigkeit durch Algorithmus und Zielzeichendesign
    Photogrammetrie - Laserscanning - Optische 3D-Messtechnik: Beiträge der Oldenburger 3D-Tage 2019, Berlin: Wichmann: 59-70
  • Janßen J, Medic T, Kuhlmann H, Holst C (2019)
    Decreasing the Uncertainty of the Target Center Estimation at Terrestrial Laser Scanning by Choosing the Best Algorithm and by Improving the Target Design
    Remote Sensing 11(7):
    https://doi.org/10.3390/rs11070845
  • Kicherer A, Herzog K, Bendel, N, Klück H-C, Backhaus A, Wieland M, Rose JC, Klingbeil L, Läbe T, Hohl C, Petry W, Kuhlmann H, Seiffert U, Töpfer R (2019)
    Phenoliner: a new field phenotyping platform for grapevine research
    Moshou D (Ed): Volume 1: Sensors in Agriculture 2019, Basel: MDPI: 70-87
  • Kierdorf J, Zabawa L, Lucks L, Klingbeil L, Kuhlmann H (2019)
    Erkennung und Zählung von Weizenähren mit Hilfe bodengestützten Bildaufnahmen
    25. Workshop Computer-Bildanalyse in der Landwirtschaft. 17. April 2019, Bonn. Bornimer Agrartechnische Berichte ; Heft 102: 158-167
  • Klingbeil L, Heinz E, Wieland M, Eichel J, Läbe T, Kuhlmann H (2019)
    On the UAV based Analysis of Slow Geomorphological Processes: A Case Study at a Solifluction Lobe in the Turtmann Valley
    4th Joint International Symposium on Deformation Monitoring (JISDM), May 15-17, 2019, Athens, Greece
  • Klopotek G, Hobiger T, Haas R, Jaron F, La Porta L, Nothnagel A, Zhang Z, Han S, Neidhardt A, Plötz C (2019)
    Position determination of the Chang’e 3 lander with geodetic VLBI
    Earth, Planets and Space, 71:23
    https://doi.org/10.1186/s40623-019-1001-2
  • Medic T, Holst C, Janßen J, Kuhlmann H (2019)
    Empirical stochastic model of detected target centroids: Influence on registration and calibration of terrestrial laser scanners
    Journal of Applied Geodesy 13(3): 179-197
    https://doi.org/10.1515/jag-2018-0032
  • Medic T, Holst C, Kuhlmann H (2019)
    Improving the Results of Terrestrial Laser Scanner Calibration by an Optimized Calibration Process
    Photogrammetrie - Laserscanning - Optische 3D-Messtechnik: Beiträge der Oldenburger 3D-Tage 2019, Berlin: Wichmann: 36-50
  • Nothnagel A, Holst C, Haas R (2019)
    A VLBI delay model for gravitational deformations of the Onsala 20 m radio telescope and the impact on its global coordinates
    Journal of Geodesy, 93(10):2019-2036
    https://doi.org/10.1007/s00190-019-01299-x
  • Schmitz B, Holst C, Medic T, Lichti D D, Kuhlmann, H (2019)
    How to Efficiently Determine the Range Precision of 3D Terrestrial Laser Scanners
    Sensors, 19(6): 1466
    https://doi.org/10.3390/s19061466
  • Villiger A, Prange L, Dach R, Zimmermann F, Kuhlmann H, Jäggi A (2019)
    Comparison of robot and chamber based receiver calibrated antenna pattern for TRF scale determination
    AGU Fall Meeting 2019, 9-13 December 2019, San Francisco, CA: G12A-06
  • Villiger A, Prange L, Dach R, Zimmermann F, Kuhlmann H, Jäggi A (2019)
    Satellite and receiver chamber calibrated antenna pattern for TRF scale determination
    th International Colloquium on Scientific and Fundamental Aspects of GNSS, 4-6 September 2019, Zurich, Switzerland
  • Villiger A, Prange L, Dach R, Zimmermann F, Kuhlmann H, Jäggi A (2019)
    Satellite and receiver chamber calibrated antenna pattern for TRF scale determination
    Galileo Science Colloqium 2019, Zurich
  • Villiger A, Prange L, Dach R, Zimmermann F, Kuhlmann H, Jäggi A (2019)
    GNSS scale determination using chamber calibrated ground and space antenna pattern
    Geophysical Research Abstracts Vol. 21, EGU2019-9088, EGU General Assembly 2019
  • Vysotska O, Kuhlmann H, Stachniss C (2019)
    UAVs Towards Sustainable Crop Production
    Workshop at Robotics: Science and Systems 2019, Freiburg
  • Wilke N, Siegmann B, Klingbeil L, Burkart A, Heinemann S, Rascher U (2019)
    UAV based assessment of influence factors on canopy height and lodging severity using an objective threshold approach
    25. Workshop Computer-Bildanalyse in der Landwirtschaft. 17. April 2019, Bonn. Bornimer Agrartechnische Berichte ; Heft 102: 15-20
  • Wilke N, Siegmann B, Klingbeil L, Burkart A, Kraska T, Muller O, van Doorn A, Heinemann S, Rascher U (2019)
    Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach
    Remote Sensing 11(5): 515
    https://doi.org/10.3390/rs11050515
  • Zabawa L, Kicherer A, Klingbeil L, Milioto A, Roscher R, Töpfer R, Kuhlmann, H (2019)
    Detektion von Weintrauben in Bildern mit Hilfe von Fully Convolutional Neural Nets
    25. Workshop Computer-Bildanalyse in der Landwirtschaft. 17. April 2019, Bonn. Bornimer Agrartechnische Berichte ; Heft 102: 15-20
  • Zabawa L, Kicherer A, Klingbeil L, Milioto A, Toepfer R, Kuhlmann H, Roscher R (2019)
    Detection of single grapevine berries in images using fully convolutional neural networks
    The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 16-20 June 2019

 

Document Actions