Methodik der Geoinformationstechnik

Prof. Dr.-Ing. Martin Kada





Prof. Dr. Martin Kada

FGL Strukturprofessur

Methodik der Geoinformationstechnik
Kaiserin-Augusta-Allee 104
10553 Berlin

+49 30 314-23274

Gebäude: KAI
Raum: KAI 2302
Sekretariat: KAI 2-2

Prodekan_in "International." Fak. VI

Fakultät VI - Planen Bauen Umwelt

+49 30 314-28101

Gebäude: Bauingenieurgebäude (B)
Raum: B

Beruflicher Werdegang

seit 2015Professor für Methodik der Geoinformationstechnik an der Technischen Universität Berlin
2010-2015Juniorprofessor für Geoinformatik an der Universität Osnabrück
2007Promotion zum Doktor-Ingenieur an der Universität Stuttgart mit dem Thema „Zur maßstabsabhängigen Erzeugung von 3D-Stadtmodellen”
2001-2010Wissenschaftlicher Mitarbeiter an der Universität Stuttgart


2014-2018„Kartographische Abstraktions- und Verschleierungstechniken für 3D-Stadtmodelle zum Schutz der Privatsphäre“ (Deutsche Forschungsgemeinschaft)
2014–2017„AlphaKomm – Ausfallsichere Lagebildinformation zur phasenadäquaten Kommunikation im Krisenfall“ (Bundesministerium für Bildung und Forschung)
2014–2017“URBIS – URBan land recycling Information services for Sustainable cities” (Europäische Kommission, CIP-ICT-PSP-2013)
2009-2010„Qualitätsgetriebene 3D-Landschaftsinterpretation“ (Baden-Württemberg-Stiftung, Eliteprogramm für Postdoktorandinnen und Postdoktoranden)
2009–2010„Parallelisierte Analyse in hybriden 3D-Geoinformationssystemen“ (Deutsche Forschungsgemeinschaft)
2007–2009„Das 3D Berlin Projekt“ (KMU Forschungsprojekt)
2007„NEXUS – Umgebungsmodelle für mobile kontextbezogene Systeme“ (Deutsche Forschungsgemeinschaft, SFB 627, 2. FP)
2005„Modellgetriebene 3D Gebäuderekonstruktion“ (KMU Forschungsprojekt)
2003–2006„NEXUS – Umgebungsmodelle für mobile kontextbezogene Systeme“ (Deutsche Forschungsgemeinschaft, SFB 627, 1.FP)
2001–2002„GISMO – Echtzeitvisualisierung von virtuellen 3D-Landschaften“ (Baden-Württemberg Stiftung)

Preise & Auszeichnungen

  • Best Paper Award, ISPRS Technical Commission II Symposium 2018: “RoofN3D: Deep Learning Training Data for 3D Building Reconstruction”

  • Best Poster Award, 124th Annual General Meeting of the Association of Ontario Land Surveyors (2016): “Towards Object Driven Floor Plan Extraction from Laser Point Cloud”

  • Best Student Presentation, 6th International Symposium on Spatial Data Quality (ISSDQ 2009): “3D Building Generalization under Ground Plan Preserving Quality Con-straints”

  • Förderpreis für Geoinformatik 2008 für die beste Dissertation verliehen auf dem 13. Münchner Fortbildungsseminar Geoinformationssysteme vom Runden Tisch GIS e.V.

  • Young Author Award for Best Paper, ISPRS Commission IV Symposium (2002): “Automatic Generalization of 3D Building Models”



C. Soriano-Cuesta, R. Romero-Hernández, E. J. Mascort-Albea, M. Kada, A. Fuls and A. Jaramillo-Morilla, "Evaluation of Open Geotechnical Knowledge in Urban Environments for 3D Modelling of the City of Seville (Spain)" , Remote Sensing, vol. 16, no. 1, 2024.
E. Bayramov, G. Tessari, S. Aliyeva, A. Duisenbiev and M. Kada, "Optimization of Targeted Differential Interferometric Measurements for Wellpads Detected by Mask Region-Based Convolutional Neural Network in the Tengiz Oilfield of the Caspian Sea Coast" , Remote Sensing, vol. 16, no. 3, 2024.


S. Hensel, S. Goebbels and M. Kada, "Facade Layout Completion with Long Short-Term Memory Networks" in Computer Vision, Imaging and Computer Graphics Theory and Applications, de Sousa, A. Augusto and Havran, Vlastimil and Paljic, Alexis and Peck, Tabitha and Hurter, Christophe and Purchase, Helen and Farinella, Giovanni Maria and Radeva, Petia and Bouatouch, Kadi, Eds. Springer International Publishing, 2023. pp. 21–40.
S. Arabi, M. Asgarimehr, M. Kada and J. Wickert, "Hybrid CNN-LSTM Deep Learning for Track-Wise GNSS-R Ocean Wind Speed Retrieval" , vol. 15, no. 17, 2023.
O. Ozturk, M. S. Isik, M. Kada and D. Z. Seker, "Improving Road Segmentation by Combining Satellite Images and LiDAR Data with a Feature-Wise Fusion Strategy" , vol. 13, no. 10, 2023.
E. Bayramov, G. Tessari, M. Kada, S. Aliyeva and M. Buchroithner, "Remote Surveillance of Differential Deformation for Kazakhstan Offshore Kashagan Oilfield Using Microwave Satellite Remote Sensing" , Remote Sensing, vol. 15, no. 19, 2023.
E. Bayramov, M. Buchroithner, M. Kada and S. Aliyeva, "Study of land subsidence induced by oil extraction in the Tengiz oilfield of Kazakhstan using radarinterferometry (InSAR)" in Proceedings Book of the 6th Intercontinental Geoinformation Days (IGD) – 13-14 June 2023 – Baku, Azerbaijan, Murat Yakar, Eds. 2023. pp. 162–167.


E. Bayramov, M. Buchroithner, M. Kada and Y. Zhuniskenov, "Remote surveillance practices of surface displacements for Kazakhstan and Azerbaijan oil and gas fields and pipelines using multi-temporal radar satellite interferometry" in Image and Signal Processing for Remote Sensing XXVIII, Lorenzo Bruzzone and Francesca Bovolo and Nazzareno Pierdicca, Eds. SPIE, 2022. pp. 122670V.
E. Bayramov, G. Tessari and M. Kada, "Quantifying Two-Dimensional Surface Displacements Using High-Resolution Cosmo-SkyMed, TerraSAR-X and Medium-Resolution Sentinel-1 SAR Interferometry: Case Study for the Tengiz Oilfield" , Sensors, vol. 22, no. 17, 2022.
E. Bayramov, M. Buchroithner, M. Kada, D. Askar and Z. Yermukhan, "Multi-temporal SAR Interferometry for Vertical Displacement Monitoring from Space of Tengiz Oil Reservoir using SENTINEL-1 and COSMO-SKYMED Satellite Missions" , vol. 10, no. 783351, 2022.
A. Djenaliev, M. Kada, A. Chymyrov, O. Hellwich, E. Bairamov and A. Muraliev, "Investigation of Earthquake Deformation Detectability Using Sentinel-1 Interferometric Data" , vol. 18, no. 6, pp. 81–96, 2022.
C. Cira, M. Kada, M. Manso-Callejo, R. Alcarria and B. B. Bordel Sanchez, "Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations" , ISPRS International Journal of Geo-Information, vol. 11, no. 1, pp. 43, Jan. 2022. MDPI AG.
M. Buyukdemircioglu, S. Kocaman and M. Kada, "Deep Learning for 3D Building Reconstruction: a Review" , The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLIII-B2-2022, pp. 359–366, 2022.
M. Buyukdemircioglu, R. Can, S. Kocaman and M. Kada, "Deep Learning Based Building Footprint Extraction from Very High Resolution True Orthophotos and NDSM" , ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. V-2-2022, pp. 211–218, 2022.
M. Kada, "3D Reconstruction of Simple Buildings from Point Clouds using Neural Networks with Continuous Convolutions (ConvPoint)" , The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVIII-4/W4-2022, pp. 61–66, 2022.
F. M. Hidalgo-Sánchez, E. J. Mascort-Albea, M. Kada, R. Romero-Hernández, J. Canivell and F. López-Larrı́naga, "3D GIS Semi-Automatized Modelling Procedure for the Conservation of the PHiM: Heritage Municipal Buildings of Seville (Spain). A New Dimension for Urban Cultural Data Management" , Journal on Computing and Cultural Heritage, vol. 15, no. 1, Jan. 2022. Association for Computing Machinery.


M. Kada and D. Kuramin, "ALS Point Cloud Classification using PointNet++ and KPConv with Prior Knowledge" , vol. XLVI-4/W4-2021, pp. 91–96, 2021.
S. Hensel., S. Goebbels. and M. Kada, "Building roof vectorization with PPGNet" , vol. XLVI-4/W4-2021, pp. 85–90, 2021.
A. Agoub and M. Kada, "Exploring the Latent Manifold of City Patterns" , ISPRS International Journal of Geo-Information, vol. 10, no. 683, 2021.
S. Hensel, S. Goebbels and M. Kada, "LSTM Architectures for Facade Structure Completion" in Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,, SciTePress, 2021. pp. 15–24.


Musyarofah, V. Schmidt and M. Kada, "Object detection of aerial image using mask-region convolutional neural network (mask R-CNN)" , IOP Conference Series: Earth and Environmental Science, vol. 500, pp. 1–11, Jul. 2020. IOP Publishing.
E. Bayramov, M. Buchroithner and M. Kada, "Radar Remote Sensing to Supplement Pipeline Surveillance Programs through Measurements of Surface Deformations and Identification of Geohazard Risks" , Remote Sensing, vol. 12, no. 23, 2020.
E. Bayramov, M. Buchroithner and M. Kada, "Quantitative assessment of ground deformations for the risk management of petroleum and gas pipelines using radar interferometry" , Geomatics, Natural Hazards and Risk, vol. 11, no. 1, pp. 2540–2568, 2020. Taylor & Francis.
E. Bayramov, M. Buchroithner, M. Kada and R. Bayramov, "Quantitative assessment of ground deformation risks, controlling factors and movement trends for onshore petroleum and gas industry using satellite Radar remote sensing and spatial statistics" , Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, pp. 1–18, 2020. Taylor & Francis.


Y. Wu, Y. Filippovska, V. Schmidt and M. Kada, "Application of Deep Learning for 3D building generalization", Jul.2019. pp. 1–8.