Methodik der Geoinformationstechnik

Prof. Dr.-Ing. Martin Kada

 

 

 

Kontakt

Prof. Dr. Martin Kada

martin.kada@tu-berlin.de

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

Forschung/Projekte

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”

Publikationen

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.
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.
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.
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.
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.

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.
ISBN
978-989-758-488-6
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.

2020

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, 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.
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 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.

2019

Y. Wu, Y. Filippovska, V. Schmidt and M. Kada, "Application of Deep Learning for 3D building generalization", Jul.2019. pp. 1–8.
E. Bayramov, P. Schlager, M. Kada, M. Buchroithner and R. Bayramov, "Quantitative assessment of climate change impacts onto predicted erosion risks and their spatial distribution within the landcover classes of the Southern Caucasus using GIS and remote sensing" , Modeling Earth Systems and Environment, vol. 5, pp. 659–667, Jan. 2019.
A. Wichmann, A. Agoub, V. Schmidt and M. Kada, "RoofN3D: A Database for 3D Building Reconstruction with Deep Learning" , Photogrammetric Engineering & Remote Sensing, vol. 85, no. 6, pp. 435–443, 2019.
A. Agoub, V. Schmidt and M. Kada, "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, vol. IV-4/W8, pp. 3–10, 2019.
S. Hensel, S. Goebbels and M. Kada, "Facade Reconstruction for Textured LOD2 CityGML Models based on Deep Learning and mixed Integer Linear Programming" , ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. IV-2/W5, pp. 37–44, 2019.
A. Agoub, Y. Filippovska, V. Schmidt and M. Kada, "Automatic Generation of Photorealistic Image Fillers for Privacy Enabled Urban Basemaps using Generative Adversarial Networks" , Advances in Cartography and GIScience of the ICA, vol. 1, pp. 1, 2019.

2018

R. Piepereit, M. Deininger, M. Kada, M. Pries and U. Voß, "A Sweep-Plane Algorithm for the Simplification of 3d Building Models in the Application Scenario of Wind Simulations" in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Sep.2018. pp. 151–156.
M. Kada, "3D Gebäudemodellierung und -generalisierung" in Handbuch der Geodäsie. Band Geoinformatik,Freeden Willi and Reiner Rummel, Eds. Berlin, Heidelberg: Springer Spektrum, 2018, pp. 1–34.
ISBN
978-3-662-46900-2

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