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TU Berlin

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M.Sc. Amgad Agoub

Lupe [1]

Methods of Geoinformation Science



Institute of Geodesy and Geoinformation Science
Technische Universität Berlin
Room KAI 2313
Kaiserin-Augusta-Allee 104-106
10553 Berlin


Contact: Secr. KAI 2-2

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

Publications

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 to publication [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 to publication [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 to publication [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 to publication [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 to publication [16]

Contact

Amgad Agoub
+49 30 314 23338
2nd Floor,Kaiserin-Augusta-Allee 104-106
Room KAI 2313, 2305
e-mail query [17]
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