Begutachtete Konferenzbeiträge
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(2020): Detection of Terrain Structures in Airborne Laser Scanning Data using Deep Learning, ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 5(2).
DOI: 10.5194/isprs-annals-V-2-2020-493-2020 -
(2019): Object Instance Segmentation in Digital Terrain Models, In International Conference on Computer Analysis of Images and Patterns (pp. 488-495). Springer, Cham.
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(2019): Semantic Segmentation of Manmade Landscape Structures in Digital Terrain Models., ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, 87–94
DOI: 10.5194/isprs-annals-IV-2-W7-87-2019 -
(2018): Deep Learning for Archaeological Object Detection in Airborne Laser Scanning Data , Proceedings of the 2nd Workshop On Computing Techniques For Spatio-Temporal Data in Archaeology And Cultural Heritage co-located with 10th International Conference on Geographical Information Science (GIScience 2018), Alberto Belussi, Roland Billen, Pierre Hallot, Sara Migliorini (eds.), CEUR Workshop Proceedings, http://ceur-ws.org/Vol-2230/
Konferenzbeiträge
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(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 |