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Publikationen von Prof. Dr.-Ing. Monika Sester

Begutachtete Zeitschriftenartikel und Buchkapitel


Feng, Y. and M. Sester (2018): Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos, ISPRS International Journal of Geo-Information 7(2),39

Thiemann, F., & Sester, M. (2018): An Automatic Approach for Generalization of Land-Cover Data from Topographic Data, In: Behnisch M., Meinel G. (eds) Trends in Spatial Analysis and Modelling. Geotechnologies and the Environment, vol 19. Springer, Cham, (pp. 193-207)


Czioska, P., Trifunović, A., Dennisen, S. and Sester, M.  (2017): Location- and time-dependent meeting point recommendations for shared interurban rides, Journal of Location Based Services 11(3-4), pp. 181-203

Begutachtete Konferenzbeiträge


H. Cheng and M. Sester (2018): Mixed traffic trajectory prediction using LSTM–based models in shared space, 21st AGILE Conference on Geographic Information Science, 2018; Lund; Sweden, Volume part F3, 2018, Pages 309-325

Fabian Bock, Karen Xia, and Monika Sester (2018): Mapping similarities in temporal parking occupancy behavior based on city-wide parking meter data , Proc. Int. Cartogr. Assoc., 1, 12, 2018
DOI: 10.5194/ica-proc-1-12-2018

Oskar Wage, Udo Feuerhake & Monika Sester (2018): Automated Enrichment of Routing Instructions, Mansourian, A., Pilesjö, P., Harrie, L., & von Lammeren, R. (Eds.), 2018. Geospatial Technologies for All : short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden. Accessible through https://agile-online.org/index.php/conference/proceedings/proceedings-2018
ISBN: 978-3-319-78208-9



Florian Politz, Bashir M. Kazimi, Monika Sester (2018): Classification of Laser Scanning Data Using Deep Learning , 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung, München – Publikationen der DGPF, Band 27, 2018  | Datei |