i3mainz - Institut für raumbezogene Informations- und Messtechnik
Fachbereich Technik / Hochschule Mainz
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Zschiesche, Kira; Becker, Denise
Application of deep learning for image-based pattern recognition in surveying engineeringAGIT Symposium & Expo 7.-8. Juli 2021. Salzburg, Austria. 2021
Zschiesche, Kira; Schlüter, Martin; Rau, Linda
BIM in der Praxis: Ansätze zur Integration von Structural Health Monitoring in ein Bestands-BIMDVW e. V. (Gesellschaft für Geodäsie, Geoinformation und Landmanagement); Runder Tisch GIS e. V. (Hrsg). Leitfaden Geodäsie und BIM. Augsburg: Wißner 2021 S. 165 - 166 (DVW-Merkblatt)
Plaß, Bastian; Prudhomme, Claire; Ponciano, Jean-Jacques
BIM on Artificial Intelligence for Decision Support in E-HealthInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. XLIII-B2-2021. 2021 S. 207 - 214
Polat, Songuel; Tremeau, Alain; Boochs, Frank
Combined Use of 3D and HSI for the Classification of Printed Circuit Board ComponentsApplied Sciences. Bd. 11. H. 18. MDPI AG 2021 S. 8424
Polat, Songül
Combined use of 3D and hyperspectral data for environmental applicationsMainz. 2021
Bruhn, Kai-Christian; Klauer, Thomas; Klonowski, Jörg
Das Jahr 2020 am i3mainzMainz: Universitätsbibliothek der Johannes Gutenberg-Universität Mainz 2021 77 S.
Plass, Bastian; Emrich, Jan; Götz, Selina et al.
Evaluation of Point Cloud Data Acquisition Techniques for Scan-to-BIM Workflows in HealthcareSmart Surveyors for Land and Water Management - Challenges in a New Reality. Amsterdam. 2021 S. 1 - 10 (Proceedings of FIG e-Working Week)
Ponciano, Jean-Jacques; Prudhomme, Claire; Boochs, Frank
From Acquisition to Presentation: The Potential of Semantics to Support the Safeguard of Cultural HeritageRemote Sensing. Bd. 13. H. 11. MDPI 2021 2226
Car, Nicholas John; Homburg, Timo
GeoSPARQL 1.1: An Almost Decadal Update to the Most Important Geospatial LOD StandardProceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021). Bd. 2977. 2021 S. 26 - 33
Thiem, Daniel G. E.; Römer, Paul; Gielisch, Matthias et al.
Hyperspectral imaging and artificial intelligence to detect oral malignancy – part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural networkHead & Face Medicine. Bd. 17. H. 1. Springer Science and Business Media LLC 2021 S. 1 - 9