Logo Leibniz Universität Hannover
Logo: Institut für Photogrammetrie und Geoinformatik/Leibniz Universität Hannover
Logo Leibniz Universität Hannover
Logo: Institut für Photogrammetrie und Geoinformatik/Leibniz Universität Hannover
  • Zielgruppen
  • Suche
 

Publikationen

Suche nach
in in allen Feldern AutorTitelBeschreibung
Kategorie
Jahr
 

2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 alle Jahre

begutachtete Zeitschriftenartikel

Aldosari, A.; Jacobsen, K. (2019): Quality of Height Models Covering Large Areas, PFG Volume 87, Issue 4, pp. 177–190.  | Datei | weitere Informationen

Blott, G.; Yu, J.; Heipke, C. (2019): Multi-View Person Re-Identification in a Fisheye Camera Network with different viewing directions, PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, (in press)

Bureick, J.; Vogel, S.; Neumann, I.; Unger, J.; Alkhatib, H. (2019): Georeferencing of an Unmanned Aerial System by Means of an Iterated Extended Kalman Filter Using a 3D City Model, In: PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Volume 87, Issue 5-6, 2019, pp. 229-247
DOI: 10.1007/s41064-019-00084-x

Kang J., Chen L., Deng F., Heipke C. (2019): Context Pyramidal Network for Stereo Matching Regularized by Disparity Gradients. JPRS (157), 201-215.
DOI: 10.1016/j.isprsjprs.2019.09.012

Li, M.; Rottensteiner, F.; Heipke, C. (2019): Modelling of buildings from aerial LiDAR point clouds using TINs and label maps; ISPRS Journal of Photogrammetry and Remote Sensing 154:127–138. weitere Informationen
DOI: 10.1016/j.isprsjprs.2019.06.003

Maas, A.; Rottensteiner, F.; Heipke, C. (2019): A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training; Computer Vision and Image Understanding 188:102782. weitere Informationen
DOI: 10.1016/j.cviu.2019.07.002

Sefercik, U., Buyukslih, G.; Jacobsen, K.; Karakis, S. (2019): DSM Quality of Korean Satellite Kompsat-3 in Comparison to AW3D30 and Sentinel-1A in Respect of Airborne Laser scanning, Korean Society of Civil Engineers  | Datei | weitere Informationen

Wang, X.; Rottensteiner, F.; Heipke, C. (2019): Structure from motion for ordered and unordered image sets based on random k-d forests and global pose estimation; ISPRS Journal of Photogrammetry and Remote Sensing 147:19-41. weitere Informationen
DOI: 10.1016/j.isprsjprs.2018.11.009

Wang, X.; Rottensteiner, F.; Heipke, C. (2019): Robust Structure From Motion Based on Relative Rotations and Tie Points. In: Photogrammetric Engineering and Remote Sensing 85(5): 347-359, 2019. weitere Informationen

weitere Zeitschriftenartikel

Heipke, C. (2019): Reviewing – Nuisance or Necessity? GIM International, (33) 1/2, 2019, p. 42.  | Datei |

Heipke, C.; Gamba, P. (2019): LAGIRS 2020 – Another opportunity for cooperation between ISPRS and GRSS. GIM International, (33) 7/8, 2019, p. 41.  | Datei |

begutachtete Tagungsbeiträge

Coenen, M.; Rottensteiner, F.; Heipke, C. (2019): Precise vehicle reconstruction for autonomous driving applications. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5, pp. 21-28. weitere Informationen
DOI: 10.5194/isprs-annals-IV-2-W5-21-2019

Dorozynski, M.; Clermont, D.; Rottensteiner, F. (2019): Multi-task deep learning with incomplete training samples for the image-based prediction of variables describing silk fabrics. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W6, pp. 47–54.
DOI: 10.5194/isprs-annals-IV-2-W6-47-2019

Mehltretter, M.; Heipke C. (2019): CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching, ICCV, 2nd Workshop on 3D Reconstruction in the Wild (3DRW2019), Proceedings.  | Datei |

Nguyen, U.; Rottensteiner, F.; Heipke, C. (2019): Confidence-aware pedestrian tracking using a stereo camera. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5, pp. 53-60. weitere Informationen
DOI: 10.5194/isprs-annals-IV-2-W5-53-2019

Wang, X.; Xiao, T.; Gruber, M.; Heipke, C. (2019): Robustifying relative orientations with respect to Repetitive Structures and Very Short Baselines for Global SfM. In Proceeding of CVPR workshop, 2019. weitere Informationen

Wittich, D.; Rottensteiner, F. (2019): Adversarial domain adaptation for the classification of aerial images and height data using convolutional neural networks. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7, pp. 197–204. weitere Informationen
DOI: 10.5194/isprs-annals-IV-2-W7-197-2019

weitere Tagungsbeiträge

Chen, L.; Zhao, D.; Heipke C.  (2019): Complementary Features Learning from RGB and Depth Information for Semantic Image Labelling. In: Kersten T. (Ed.), 2019: Dreiländertagung der DGPF, OVG und SGPF, Wien – Publikationen der DGPF, Band 28, pp. 375-386. weitere Informationen

Clermont, D.; Kruse, C.; Rottensteiner, F.; Heipke, C. (2019): Supervised detection of bomb craters in historical aerial images using convolutional neural networks. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16, pp. 67–74. weitere Informationen
DOI: 10.5194/isprs-archives-XLII-2-W16-67-2019

Dorozynski, M.; Wittich, D.; Rottensteiner, F. (2019): Deep Learning zur Analyse von Bildern von Seidenstoffen für Anwendungen im Kontext der Bewahrung des kulturellen Erbes. 39. Wissenschaftlich-Technische Jahrestagung der DGPF und Dreiländertagung der OVG, DGPF und SGPF in Wien, Publikationen der DGPF Band 28, 387-399. weitere Informationen

Heipke, C. (2019): CIPA – to 50 years of successfully integrating culture and technology. In: Stylianidis, E. (Ed.), CIPA - Heritage Documentation: 50 Years: Looking Backwards. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W14, 3-4
DOI: 10.5194/isprs-archives-XLII-2-W14-1-2019

Kang, J.; Chen, L.; Deng, F.; Heipke, C.  (2019): Encoder-Decoder network for local structure preserving stereo matching Illumination. In: Kersten T., (Ed.), 2019: Dreiländertagung der DGPF, OVG und SGPF, Wien – Publikationen der DGPF, Band 28, pp. 363-374. weitere Informationen

Kruse, C.; Rottensteiner, F.; Heipke, C. (2019): Marked point processes for the automatic detection of bomb craters in aerial wartime images. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13, pp. 51-60. weitere Informationen
DOI: 10.5194/isprs-archives-XLII-2-W13-51-2019

Li, M.; Rottensteiner, F. (2019): Vision-based indoor localization via a visual SLAM approach. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13, pp. 827-833. weitere Informationen
DOI: 10.5194/isprs-archives-XLII-2-W13-827-2019

Yang, C.; Rottensteiner, F.; Heipke, C. (2019): Towards better classification of land cover and land use based on convolutional neural networks. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13, pp. 139-146. weitere Informationen
DOI: 10.5194/isprs-archives-XLII-2-W13-139-2019