Publications (GIScience)

Conference Papers

2019
  • Li, H., Herfort, B., Zipf, A. (2019): Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks. Proceedings of the 22nd AGILE Conference on Geographic Information Science, Limassol, Cyprus.
  • Anders, K., Lindenbergh, R.C., Vos, S., Mara, H., de Vries, S., Höfle, B. (2019): High-Frequency 3D Geomorphic Observation Using Hourly Terrestrial Laser Scanning Data Of A Sandy Beach, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W5, 317-324, DOI: 10.5194/isprs-annals-IV-2-W5-317-2019.
  • Kumar, A., Anders, K., Winiwarter, L., Höfle, B. (2019): Feature Relevance Analysis For 3D Point Cloud Classification Using Deep Learning, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W5, 373-380, DOI: 10.5194/isprs-annals-IV-2-W5-373-2019.
2018
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until 1999
  • Zipf, A. & Malaka, R. (1999): Web-basierte Planung und animierte Visualisierung von 3D Besichtigungstouren im Rahmen des Touristeninformationssystems Deep Map. (AGIT Spezial: GIS in Verkehr und Transport. Salzburg. 04.-06.06.1999). In: Zagel, B. (Hrsg.): GIS in Verkehr und Transport. Hüthig Verlag. Heidelberg.
  • Chandrasekhara, V., Malaka, R., Teichert, J., Porzel, R. & Zipf, A.(1999): Deep Map – A mobile tourist information system. Int. Conf. on Wearable Computing, ICWC ´99, Stuttgart, Germany.
  • Zipf, A. (1999): Guiding tourists through space and time within an agent based framework – Deep Map. European ESRI User Conference, München.
  • Zipf, A. (1998): DEEP MAP – A prototype context sensitive tourism information system for the city of Heidelberg. Proc. of GIS-Planet 98. Lisboa, Portugal.
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