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TU Berlin

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M.Sc. Amgad Agoub


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


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

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

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

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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. Advances in Cartography and GIScience of the ICA, 1.

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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. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 3–10.

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

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Amgad Agoub
+49 30 314 23338
2nd Floor,Kaiserin-Augusta-Allee 104-106
Room KAI 2313, 2305