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Logo: Institut für Photogrammetrie und Geoinformatik/Leibniz Universität Hannover
Logo Leibniz Universität Hannover
Logo: Institut für Photogrammetrie und Geoinformatik/Leibniz Universität Hannover
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begutachtete Zeitschriftenartikel

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)

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F.; Heipke, C. (2019): A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training; Computer Vision and Image Understanding 188:102782.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

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

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

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

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

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