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Technical University of Munich

Thomas Stark

Tel:+49-8153-28-3503
Room: 120/121 (DLR-DFD)
E-mail:Thomas.Stark[at]dlr.de

 

Curriculum Vitae

  • Since 04.2018, Research Associate, TUM-SiPEO / DLR-DFD
  • 10/2015 - 02/2018, Geodesy and Geoinformation, M.Sc., TU Munich
  • 03/2013 - 09/2015, Applied Geodesy and Geoinformatics, B.Eng., University of Applied Sciences Munich

Research topic

  • Geospatial urban structure analysis
  • Machine Learning-Based detection of informal settlements

Key Publications

  • Stark, T., Wurm, M., Taubenböck, H., & Zhu, X. X. (2019, May). Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. In 2019 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE.

  • Wurm, M., Stark, T., Zhu, X. X., Weigand, M., & Taubenböck, H. (2019). Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks. ISPRS journal of photogrammetry and remote sensing, 150, 59-69.

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