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TU Berlin

Inhalt des Dokuments

M.Sc. Amgad Agoub

Lupe [1]

Fachgebiet Methodik der Geoinformationstechnik



Institut für Geodäsie und Geoinformationstechnik
Technische Universität Berlin
Raum KAI 2313
Kaiserin-Augusta-Allee 104-106
10553 Berlin



Kontakt: Sekr. KAI 2-2



amgad.agoub(at)tu-berlin.de [2]

Publikationen

Wichmann, Andreas and Agoub, Amgad and Schmidt, Valentina and Kada, Martin (2019). RoofN3D: A Database for 3D Building Reconstruction with Deep Learning [6]. Photogrammetric Engineering & Remote Sensing, 435–443.


Agoub, A. and Filippovska, Y. and Schmidt, V. and Kada, M. (2019). Automatic Generation of Photorealistic Image Fillers for Privacy Enabled Urban Basemaps using Generative Adversarial Networks [7]. Advances in Cartography and GIScience of the ICA, 1.

Link zur Publikation [8]

Agoub, Amgad and Schmidt, Valentina and Kada, Martin (2019). Generating 3D City Models based on the Semantic Segmentation of LIDAR Data using Convolutional Neural Networks [9]. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 3–10.

Link zur Publikation [10]

Wichmann, A. and Agoub, A. and Kada, M. (2018). RoofN3D: Deep Learning Training Data for 3D Building Reconstruction [11]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1191–1198.

Link zur Publikation [12]

Tom Lutherborrow and Amgad Agoub and Martin Kada (2018). Ship Detection in Satellite Imagery via Convolutional Neural Networks [13]. Proceedings Asian Conference on Remote Sensing 2018, 2117–2125.

Link zur Publikation [14]

Agoub, Amgad and Kunde, Felix and Kada, Martin (2016). Potential of Graph Databases in Representing and Enriching Standardized Geodata [15]. Tagungsband Dreiländertagung OVG, DGPF und SGPF. Publikationen der DGPF, 208–216.

Link zur Publikation [16]

Kontakt

Amgad Agoub
+49 30 314 23338
2. Etage, Kaiserin-Augusta-Allee 104-106
Raum KAI 2313, 2305
E-Mail-Anfrage [17]
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