Gabriel Dax

Telefon: +49 89 289 555 51
Raum: 113
Anschrift: Technische Universität München
Gabriel Dax
Lise-Meitner-Str. 9
85521 Ottobrunn


  1. Alam, S., Ahmed, M., Dax, G., & Werner, M. (2021). Change detection of Lake Starnberg, Germany using NDVI and Sentinel 2. Symposium Für Angewandte Geoinformatik (AGIT’2021). [BibTeX]
  2. Götzer, S., Laass, M., Dax, G., & Werner, M. (2021). ObservaToriUM: A Simple Scalable Earth Observation Processing Engine. Symposium Für Angewandte Geoinformatik (AGIT’2021). [BibTeX]
  3. Dax, G., & Werner, M. (2021). Information-optimal Abstaining for Reliable Classification of Building Functions. Proceedings of the 24th AGILE Conference on Geographic Information Science (AGILE’2021). [Online] [BibTeX]
  4. Zeya, S. M., Theofanidis, A., Dax, G., & Werner, M. (2021). Forest and Vegetation Monitoring using Sentinel-2 Imagery in the Northern Part of Democratic Republic of Congo. Proceedings of the 24th AGILE Conference on Geographic Information Science (AGILE’2021). [BibTeX]
  5. Dax, G., & Werner, M. (2021). Trajectory Similarity using Compression. Accepted for the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF] [BibTeX]
  6. Raoofy, A., Dax, G., Ghiglione, M., Langer, M., Trinitis, C., Werner, M., & Schulz, M. (2021). Benchmarking Machine Learning Inference in FPGA-based Accelerated Space Applications. Proceedings of the Workshop on Benchmarking Machine Learning Workloads Co-Located with IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). [BibTeX]
  7. Dax, G., Laass, M., & Werner, M. (2021). Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. Accepted for International Geoscience and Remote Sensing Symposium (IGARSS’21). [PDF] [BibTeX]
  8. Werner, M., Dax, G., & Laass, M. (2020). Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research. In R. H. Reussner, A. Koziolek, & R. Heinrich (Eds.), 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September - 2. Oktober 2020: Vol. P-307 (pp. 1009–1017). GI. [BibTeX]


Professur für
Big Geospatial Data Management

Lise-Meitner-Str. 9
85521 Ottobrunn

© 2020 M. Werner