Professur für Big Geospatial Data Management
TUM School of Engineering and Design
Technische Universität München TUM – Menü

Publikationen

Hier geben wir einen Überblick über alle Publikationen von Mitgliedern in unserem Team.

  1. Teuscher, B., & Werner, M. (2025). Point Cloud Data Management for Analytics in a Lakehouse. AGILE: GIScience Series, 6. https://doi.org/10.5194/agile-giss-6-47-2025 [PDF] [Online]
  2. Luo, X., & Werner, M. (2025). One-dimensional Path Convolution. Forty-Second International Conference on Machine Learning. https://openreview.net/forum?id=9aEYGpSV6v [PDF] [Online]
  3. Chorapalli, J., Bereczky, M., Rashkovetsky, D., Walther, P., & Werner, M. (2024). A Deep Learning Approach for Active Fire Detection Using Multi-Temporal Geostationary Satellite Data. 31–33. https://forest-fires.earsel.org/workshop/13-FF-2024/wp-content/uploads/2024/11/EARSeL_Forest_Fires_2024_ws_BookAbstracts_final.pdf [Online]
  4. Soares, N., Walther, P., & Werner, M. (2025). Experiments on Geospatial Data Modelling for Long-Term Trajectory Prediction of Aircrafts. AGILE: GIScience Series, 6, 46. https://doi.org/10.5194/agile-giss-6-46-2025 [PDF] [Online]
  5. Walther, P., Mansour, W., & Werner, M. (2025). Extending the Applicability of Bloom Filters by Relaxing their Parameter Constraints. https://arxiv.org/abs/2502.02193 [Online]
  6. Yin, W., Xue, Y., Liu, Z., Li, H., & Werner, M. (2025). LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey. International Journal of Applied Earth Observation and Geoinformation, 137, 104423.
  7. Liesenhoff, L., Wölki, N., Mollière, C., Laux, D., Werner, M., & Gottfriedsen, J. (2024). Transfer Learning for On-board Cloud Segmentation in Thermal Satellite Images of the FOREST-2 Mission. AGU24.
  8. Fang, C., Zhou, L., Gu, X., Liu, X., & Werner, M. (2025). A data driven approach to urban area delineation using multi source geospatial data. Scientific Reports, 15(1), 8708. https://doi.org/10.1038/s41598-025-93366-x [Online]
  9. Zollner, J. M., & Werner, M. (2025). A randomized transformation for data processing on quantum computers. Quantum Machine Intelligence, 7(1), 22. https://doi.org/https://doi.org/10.1007/s42484-025-00250-y [PDF] [Online]
  10. Deuser, F., Mansour, W., Li, H., Habel, K., Werner, M., & Oswald, N. (2025). Temporal Resilience in Geo-Localization: Adapting to the Continuous Evolution of Urban and Rural Environments. Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 479–488. https://openaccess.thecvf.com/content/WACV2025W/GeoCV/html/Deuser_Temporal_Resilience_in_Geo-Localization_Adapting_to_the_Continuous_Evolution_of_WACVW_2025_paper.html [PDF] [Online]
  11. Hu, Y., Zollner, J. M., Höschen, C., Werner, M., & Schweizer, S. A. (2024). Automated identification of soil functional components based on NanoSIMS data. Ecological Informatics, 102891. https://doi.org/10.1016/j.ecoinf.2024.102891 [PDF] [Online]
  12. Petry, M., Koch, A., & Werner, M. (2024). Zero-Copy AI-Augmented Signal Processing Pipeline on Heterogeneous Satellite Processors. 2024 58th Asilomar Conference on Signals, Systems, and Computers, 354–361. https://doi.org/10.1109/IEEECONF60004.2024.10943093 [PDF]
  13. Petry, M., & Mayr, R. (2024). AI-enabled 5G base-station with Hardware Acceleration for Non-Terrestrial Networks on a Space-Grade System-on-Chip. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. https://doi.org/10.5281/zenodo.13885601 [PDF] [Online]
  14. Wölki, N., Kondmann, L., Mollière, C., Langer, M., Werner, M., & Gottfriedsen, J. (2024). Exploring Machine Learning for Cloud Segmentation in Thermal Satellite Images of the FOREST-2 Mission . Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. https://doi.org/10.5281/zenodo.13885621 [Online]
  15. Petry, M., Mayr, R., & Hennerich, M. (2024). 5G Base-Station with Hardware Acceleration for Non-Terrestrial Networks on a Space-Grade System-on-Chip. Proceedings of the 14th GNU Radio Conference. https://pubs.gnuradio.org/index.php/grcon/article/view/152 [PDF] [Online]
  16. Walther, P., Luo, X., & Werner, M. (2024). TraBiMap: Reducing Privacy Concerns in Trajectory Analysis with Randomized Data Representations. 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies. https://doi.org/10.1145/3681768.3698496 [PDF] [Online]
  17. Mansour, W., & Werner, M. (2024). Calculating Upstream Relation in Spatial Networks Under Path Constraints. Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 314–324. https://doi.org/10.1145/3678717.3691288 [PDF] [Online]
  18. Teuscher, B., & Werner, M. (2024). PC-LMT: The Point Cloud Log Merge Tree for the Helena Point Cloud Database. Proceedings of the 12th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 1–9. https://doi.org/10.1145/3681763.3698476 [PDF] [Online]
  19. Walther, P., Deuser, F., & Werner, M. (2024). Multi-Modal Contextualization of Trajectory Data for Advanced Analysis. Datenbank-Spektrum. https://doi.org/10.1007/s13222-024-00484-3 [PDF] [Online]
  20. Wang, Z., Du, X., Li, H., & Werner, M. (2024). Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 22–28. https://doi.org/10.1145/3681769.3698582 [PDF] [Online]
  21. Li, H., Deuser, F., Yin, W., Luo, X., Walther, P., Mai, G., Huang, W., & Werner, M. (2025). Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN. ISPRS Journal of Photogrammetry and Remote Sensing, 220, 841–854. https://doi.org/https://doi.org/10.1016/j.isprsjprs.2025.01.003 [PDF] [Online]
  22. Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C. S., KIM, J.-S., … Zimányi, E. (2024). Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. https://doi.org/10.1145/3652158 [Online]
  23. Petry, M., Parlier, B., Koch, A., & Werner, M. (2024). Auto-Regressive RF Synchronization Using Deep-Learning. IEEE International Conference on Machine Learning for Communication and Networking. [PDF]
  24. Teuscher, B., & Werner, M. (2024). Random Data Distribution for Efficient Parallel Point Cloud Processing. AGILE: GIScience Series, 5, 15. https://doi.org/10.5194/agile-giss-5-15-2024 [PDF] [Online]
  25. Kiprit, G. N., Koch, A., Petry, M., & Werner, M. (2024). Graph Neural Networks for Anomaly Detection in Spacecraft. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. [PDF]
  26. Koch, A., Petry, M., & Werner, M. (2024). AI-augmented Anomaly Detection Pipeline for Real-Time Onboard Processing of Spacecraft Telemetry. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. [PDF]
  27. Koch, A., Petry, M., & Werner, M. (2024). Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with Machine Learning. Proceedings of MulTiSA 2024, the 1st Workshop on Multivariate Time Series Analytics in Conjunction with ICDE 24, 1–8. [PDF]
  28. Li, H., Wang, J., Teuscher, B., Luoa, P., Hong, D., Mai, G., & Werner, M. (2024). GIMI: A Geographical Generalizable Image-to-Image Search Engine with Location-explicit Contrastive Embedding. ICLR 2024 Workshop on Machine Learning in Remote Sensing(ML4RS). [PDF]
  29. Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A., Gamba, P., Benediktsson, J. A., & Chanussot, J. (2024). SpectralGPT: Spectral Remote Sensing Foundation Model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–18. https://doi.org/10.1109/TPAMI.2024.3362475 [PDF] [Online]
  30. Zhou, L., de Vries, W. T., Panman, A., Gao, F., & Fang, C. (2023). Evaluating Collective Action for Effective Land Policy Reform in Developing Country Contexts: The Construction and Validation of Dimensions and Indicators. Land, 12(7), 1401.
  31. Walther, P. (2024). Advancements of Randomized Data Structures for Geospatial Data. In H. V. J. Themis Palpanas (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference (Number 3651). https://ceur-ws.org/Vol-3651/PhDW-1.pdf [PDF] [Online]
  32. Zollner, J. M., Walther, P., & Werner, M. (2024). Satellite Image Representations for Quantum Classifiers. Datenbank-Spektrum, 1–9. https://doi.org/https://doi.org/10.1007/s13222-024-00464-7 [PDF] [Online]
  33. Liu, Z., Fang, C., Li, H., Wu, J., Zhou, L., & Werner, M. (2024). Efficiency and equality of the multimodal travel between public transit and bike-sharing accounting for multiscale. Sustainable Cities and Society, 101, 105096. https://doi.org/https://doi.org/10.1016/j.scs.2023.105096 [PDF] [Online]
  34. Luo, X., Walther, P., Mansour, W., Teuscher, B., Zollner, J. M., Li, H., & Werner, M. (2023). Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet. The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’23), November 13–16, 2023, Hamburg, Germany. https://doi.org/10.1145/3589132.3629971 [PDF] [Online]
  35. Hong, D., Zhang, B., Li, H., Li, Y., Yao, J., Li, C., Werner, M., Chanussot, J., Zipf, A., & Zhu, X. X. (2023). Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Remote Sensing of Environment, 299, 113856. https://doi.org/https://doi.org/10.1016/j.rse.2023.113856 [Online]
  36. Deuser, F., Habel, K., Werner, M., & Oswald, N. (2023). Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation. Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 7–11.
  37. Bill, R., Blankenbach, J., Breunig, M., Haunert, J.-H., Heipke, C., Herle, S., Maas, H.-G., Mayer, H., Meng, L., Rottensteiner, F., & others. (2022). Geospatial Information Research: State of the Art, Case Studies and Future Perspectives. PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 90(4), 349–389.
  38. Li, H., Wang, J., Zollner, J. M., Mai, G., Lao, N., & Werner., M. (2023). Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. Proceedings of the 31st International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3589132.3625598 [PDF] [Online]
  39. Werner, M., Li, H., Zollner, J. M., Teuscher, B., & Deuser., F. (2023). Bavaria Buildings - A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation (Data and Resources Paper). Proceedings of the 31st International Conference on Advances in Geographic Information Systems (ACM SIGSPATAIL GIS’23). https://doi.org/10.1145/3589132.3625658 [PDF] [Online]
  40. Petry, M., Koch, A., & Werner, M. (2023). Envisioning Physical Layer Flexibility Through the Power of Machine-Learning. 2023 IEEE Globecom Workshops (GC Wkshps), 50–55. https://doi.org/10.1109/GCWkshps58843.2023.10464871 [PDF]
  41. Petry, M., Wuwer, G., Koch, A., Gest, P., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning Inference on the Versal adaptive SoC in the Space Domain. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–8. https://doi.org/10.23919/EDHPC59100.2023.10396011 [Online]
  42. Li, H., Yuan, Z., Dax, G., Kong, G., Fan, H., Zipf, A., & Werner, M. (2023). Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. In R. Beecham, J. A. Long, D. Smith, Q. Zhao, & S. Wise (Eds.), 12th International Conference on Geographic Information Science (GIScience 2023) (Vol. 277, pp. 7:1–7:15). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.GIScience.2023.7 [PDF] [Online]
  43. Heller-Kaikov, B., Pail, R., & Werner, M. (2023, July). Gravity signal separation using a neural network. 28th IUGG General Assembly.
  44. Heller-Kaikov, B., Pail, R., & Werner, M. (2023). Separation of signal components in global gravity models. European Geosciences Union General Assembly.
  45. Teuscher, B., Geißendörfer, O., Luo, X., Li, H., Anders, K., Holst, C., & Werner, M. (2024). Efficient In-Memory Point Cloud Query Processing. In T. H. Kolbe, A. Donaubauer, & C. Beil (Eds.), Recent Advances in 3D Geoinformation Science (pp. 267–286). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43699-4_16 [PDF] [Online]
  46. Koch, A., Krstova, A., Hegwein, F., De Lera, M. C., Ales, F., Petry, M., Ali, R., Mallah, M., Hili, L., Ghiglione, M., & Werner, M. (2023). On-Board Anomaly Detection on a Flight-Ready System. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–4. https://doi.org/10.23919/EDHPC59100.2023.10395967 [PDF] [Online]
  47. Koch, A., Dax, G., Petry, M., Gomez, H., Raoofy, A., Saroliya, U., Ghiglione, M., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Reference Implementations for Machine Learning Application Benchmark. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–3. https://doi.org/10.23919/EDHPC59100.2023.10396582 [PDF] [Online]
  48. Koch, A., Petry, M., Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Machine Learning Application Benchmark. 20th ACM International Conference on Computing Frontiers (CF ’23), May, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592769 [PDF]
  49. Xiong, Z., Stober, D., Krstić, M., Korup, O., Arango, M. I., Li, H., & Werner, M. (2023). Integrating AI Hardware in Academic Teaching: Experiences and Scope from Brandenburg and Bavaria. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
  50. Petry, M., Gest, P., Koch, A., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning inference on FPGAs in the Space Domain. 20th ACM International Conference on Computing Frontiers (CF ’23), May, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592763 [PDF]
  51. Petry, M., Koch, A., Werner, M., Hoch, U., Helfers, T., & Wiest, R. (2023). Machine Learning on Telecommunication Satellite. DATA SYSTEMS IN AEROSPACE - 2023 DASIA. [PDF]
  52. Teuscher, B., Xiong, Z., & Werner, M. (2023). An Augmentation Framework for Efficiently Extracting Open Educational Resources from Slideshows. 9th International Conference on Higher Education Advances (HEAd’23). https://doi.org/10.4995/HEAd23.2023.16169 [PDF] [Online]
  53. Knoblauch, S., Li, H., Lautenbach, S., Elshiaty, Y., Rocha, A. A. de A., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2023). Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti. International Journal of Applied Earth Observation and Geoinformation, 119, 103304. https://doi.org/10.1016/j.jag.2023.103304 [PDF] [Online]
  54. Dax, G., Nagarajan, S., Li, H., & Werner, M. (2022). Compression Supports Spatial Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). https://doi.org/10.1109/JSTARS.2022.3226563 [Online]
  55. Gao, F., Du, Z., Fang, C., Zhou, L., & Werner, M. (2022). A spatio-temporal cognitive framework for individual route choice in outdoor evacuation scenario. ISPRS International Journal of Geo-Information. https://www.mdpi.com/2220-9964/11/12/605/pdf [Online]
  56. Zollner, J. M. (2022). Quantum Classifiers for Remote Sensing. Proceedings of the 30th International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3557915.3565537 [PDF] [Online]
  57. Zhu, X. X., Wang, Y., Kochupillai, M., Werner, M., Häberle, M., Hoffmann, E. J., Taubenböck, H., Tuia, D., Levering, A., Jacobs, N., & others. (2022). Geoinformation harvesting from social media data: A community remote sensing approach. IEEE Geoscience and Remote Sensing Magazine, 10(4), 150–180. [PDF]
  58. Grinberger, A. Y., Liu, P., Li, H., Juhasz, L., & Minghini, M. (2022). OpenStreetMap, beyond just Data: The Academic Track at State of the Map 2022. Zenodo. https://doi.org/10.5281/zenodo.7004424 [Online]
  59. Werner, M., & Li, H. (2022). AtlasHDF: An Efficient Big Data Framework for GeoAI. 1–7. https://doi.org/10.1145/3557917.3567615 [PDF] [Online]
  60. Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C., Kim, J.-S., … Zimányi, E. Mobility Data Science. Dagstuhl Reports - Schloss Dagstuhl Leibniz-Zentrum Für Informatik. https://drops.dagstuhl.de/opus/volltexte/2022/16919/ [Online]
  61. Hu, X., Zhou, Z., Li, H., Hu, Y., Gu, F., Kersten, J., Fan, H., & Klan, F. (2023). Location Reference Recognition from Texts: A Survey and Comparison. ACM Comput. Surv. https://doi.org/10.1145/3625819 [Online]
  62. Dax, G., & Werner, M. (2022). The Role of Compression in Spatial Computing. PhD Colloquium of the Deutsche Geodätische Kommission, Section on Geoinformatics. [PDF]
  63. Denizoglu, D. G., Dax, G., Nagarajan, S., Zhang, N., & Werner, M. (2022). Global Active Fire Detection – Towards a SAR-enabled Multi-Sensor Global Monitoring System. Living Planet Symposium 2022. [PDF]
  64. Raoofy, A., Dax, G., Serra, V., Ghiglione, M., Werner, M., & Trinitis, C. (2022). Benchmarking and Feasibility Aspects of Machine Learning in Space Systems. Proceedings of the 19th ACM International Conference on Computing Frontiers (CF’22). https://doi.org/10.1145/3528416.3530986 [PDF] [Online]
  65. Ghiglione, M., Serra, V., Raoofy, A., Dax, G., Trinitis, C., Werner, M., Schulz, M., & Furano, G. (2022). Survey of frameworks for inference of neural networks in space data system. Data Systems in Aerospace (DASIA). Eurospace. [PDF]
  66. Gao, F., Du, Z., Werner, M., & Zhao, Y. (2022). An improved optimization model for crowd evacuation considering individual exit choice preference. Transactions in GIS (in Production).
  67. Laass, M., Dax, G., & Werner, M. (2022). A Randomized Data Structure for Point Clouds. Proceedings of the 7th Annual SDSC Conference and 17th 3D GeoInfo Conference.
  68. Zhang, W., Fang, C., Zhou, L., & Zhu, J. (2020). Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach. Cities, 104, 102809.
  69. Zhou, L., Zhang, W., Fang, C., Sun, H., & Lin, J. (2020). Actors and network in the marketization of rural collectively-owned commercial construction land (RCOCCL) in China: A pilot case of Langfa, Beijing. Land Use Policy, 99, 104990.
  70. Werner, M., & Chiang, Y.-Y. (Eds.). (2021). Handbook of Big Geospatial Data. Springer.
  71. Cavallaro, G., Heras, D. B., Lunga, D., Werner, M., & Züfle, A. (2021). Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data. ACM.
  72. Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Wiest, R., Trinitis, C., Werner, M., Schulz, M., & Langer, M. (2021). Machine Learning Application Benchmark for In-Orbit On-Board Data Processing. European Workshop on On-Board Data Processing. https://zenodo.org/record/5520877/files/05.04_OBDP2021_Ghiglione.pdf [PDF] [Online]
  73. Laass, M. (2021). Point in Polygon Tests Using Hardware Accelerated Ray Tracing. 6th ACM SIGSPATIAL Student Research Competition (SIGSPATIAL ’21). [PDF]
  74. 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). [PDF]
  75. Götzer, S., Laass, M., Dax, G., & Werner, M. (2021). ObservaToriUM: A Simple Scalable Earth Observation Processing Engine. Symposium Für Angewandte Geoinformatik (AGIT’2021). [PDF]
  76. Werner, M. (2021). Spatially Supervised Text Mining for Social Media Cleaning and Preprocessing. 12th International Symposium on Digital Earth (ISDE12). https://dl.acm.org/doi/10.1553/giscience2021_01_s68 [Online]
  77. 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). [PDF]
  78. 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). [PDF]
  79. Dax, G., & Werner, M. (2021). Trajectory Similarity using Compression. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF]
  80. Laass, M., Kiermeier, M., & Werner, M. (2021). Improving persistence based trajectory simplification. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF]
  81. 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). [PDF]
  82. Dax, G., Laass, M., & Werner, M. (2021). Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. International Geoscience and Remote Sensing Symposium (IGARSS’21). [PDF]
  83. Werner, M. (2021). GloBiMapsAI – An AI-Enhanced Probabilistic Data Structure for Global Raster Datasets. ACM Transactions on Spatial Algorithms and Systems. . https://dl.acm.org/doi/10.1145/3453184 [Online]
  84. Züfle, A., & Werner, M. (2020). Introduction to this special issue: SIGSPATIAL 2020 event reports. ACM SIGSPATIAL Special, 12(3), 1–2. https://doi.org/10.1145/3447994.3447995 [Online]
  85. 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. https://doi.org/10.18420/inf2020_95 [Online]
  86. Salcedo-Sanz, S., Ghamisi, P., Piles, M., Werner, M., Cuadra, L., Moreno-Martı́nez A, Izquierdo-Verdiguier, E., Muñoz-Marı́ J, Mosavi, A., & Camps-Valls, G. (2020). Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Information Fusion, 63, 256–272.
  87. Artem Leichter, M. S., Martin Werner. (2020). Feature-Extraction from All-Scale Neighborhoods With Applications To Semantic Segmentation of Point Clouds. XXIV ISPRS Congress - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. [PDF]
  88. Werner, M. (2019). Quantum spatial computing. SIGSPATIAL Special, 11(2), 26–33. [PDF]
  89. Werner, M. (2019). Parallel Processing Strategies for Big Geospatial Data. Frontiers in Big Data, 2, 44. https://doi.org/10.3389/fdata.2019.00044 [Online]
  90. Leichter, A., & Werner, M. (2019). Estimating Road Segments Using Natural Point Correspondences of GPS Trajectories. Special Issue Averaging GPS Segments, Applied Sciences, 9(20). [PDF]
  91. Werner, M. (2019). GIS++: Modern C++ for Efficient and Parallel In-Memory Spatial Computing. 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI’19). [PDF]
  92. Werner, M. (2019). GloBiMaps - A Probabilistic Data Structure for In-Memory Processing of Global Raster Datasets. 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’19). [PDF]
  93. Häberle, M., Werner, M., & Zhu, X. (2019). Building Type Classification From Social Media Texts via Geo-Spatial Text Mining. International Geoscience and Remote Sensing Symposium (IGARSS’19).
  94. Hoffmann, E. J., Wang, Y., Werner, M., Kang, J., & Zhu, X. X. (2019). Model Fusion for Building Type Classification from Aerial and Street View Images. Remote Sensing, 11(11), 1259.
  95. Hoffmann, E. J., Werner, M., & Zhu, X. (2019). Building Instance Classification using Social Media Images. Joint Urban Remote Sensing Event (JURSE), 1–4. [PDF]
  96. Hoffmann, E. J., Werner, M., & Zhu, X. (2019). Mutual Information Analysis of Social Media Images and Building Functions. International Geoscience and Remote Sensing Symposium (IGARSS’19). [PDF]
  97. Hoffmann, E. J., Werner, M., & Zhu, X. (2019). Quality Assessment of Semantic Tags in OpenStreetMap. 11th International Symposium on Digital Earth (ISDE’11).
  98. Häberle, M., Werner, M., & Zhu, X. (2019). Geo-Spatial Text-Mining from Twitter—A Feature Space Analysis with a view towards Building Classification in Urban Regions. European Journal of Remote Sensing, 52(sup2), 2–11. https://doi.org/10.1080/22797254.2019.1586451
  99. Werner, M. (2018). Spatial Data Locality in Scalable and Fault-tolerant Distributed Spatial Computing Systems. 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial 2018). [PDF]
  100. Kjærgaard, M. B., Werner, M., Sangogboye, F. C., & Arendt, K. (2018). DCount-A Probabilistic Algorithm for Accurately Disaggregating Building Occupant Counts into Room Counts. International Conference on Mobile Data Management. [PDF]
  101. Werner, M. (2018). Topology Extraction from Occupancy Grids. LBS 2018: 14th International Conference on Location Based Services, 133–149. [PDF]
  102. Leichter, A., Wittich, D., Rottensteiner, F., Werner, M., & Sester, M. (2018). IMPROVED CLASSIFICATION OF SATELLITE IMAGERY USING SPATIAL FEATURE MAPS EXTRACTED FROM SOCIAL MEDIA. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4, 335–342. https://doi.org/10.5194/isprs-archives-XLII-4-335-2018 [PDF] [Online]
  103. Werner, M., & Oliver, D. (2018). ACM SIGSPATIAL GIS Cup 2017 - Range Queries Under Fréchet Distance. ACM SIGSPATIAL Newsletter. [PDF]
  104. Kiermeier, M., & Werner, M. (2017). Similarity Search for Spatial Trajectories Using Online Lower Bounding DTW and Presorting Strategies. 24th International Symposium on Temporal Representation and Reasoning. [PDF]
  105. Werner, M., & Feld, S. (2017). Successful Data Science Is a Communication Challenge. In DIGITAL MARKETPLACES UNLEASHED.
  106. Linnhoff-Popien, C., Feld, S., Werner, M., & Schönfeld, M. (2017). Innovationszentrum Mobiles Internet des ZD.B - Methoden der Digitalisierung in der Arbeitswelt. In 50 Jahre Universitäts-Informatik in München.
  107. Kiermeier, M., Werner, M., Linnhoff-Popien, C., Sauer, H., & Wieghardt, J. (2017). Anomaly detection in self-organizing industrial systems using pathlets. Proceedings of the 18th Annual International Conference on Industrial Technology (ICIT), 1226–1231.
  108. Kiermeier, M., Werner, M., Sauer, H., & Wieghardt, J. (2017). Building Scalable Models for Anomaly Detection in Self-Organizing Industrial Systems. Proceedings of the 15th IEEE International Conference on Industrial Informatics.
  109. Werner, M., & Kiermeier, M. (2016). A Low-Dimensional Feature Vector Representation for Alignment-Free Spatial Trajectory Analysis. Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS’16). [PDF]
  110. Werner, M., Hahn, C., & Schauer, L. (2016). DeepMoVIPS: Visual Indoor Positioning Using Transfer Learning. Proceedings of the 7th International Conference on Indoor Positioning and Indoor Navigation (IPIN).
  111. Hoffmann, E.-J., Werner, M., & Schauer, L. (2016). Indoor Navigation Using Virtual Anchor Points. Proceedings of the European Navigation Conference (ENC). [PDF]
  112. Feld, S., Werner, M., & Linnhoff-Popien, C. (2016). Criteria for Selecting Small Sets of Alternative Routes in Free Space Scenarios. Proceedings of the 13th International Conference on Location-Based Services (LBS 2016). [PDF]
  113. Feld, S., Werner, M., & Linnhoff-Popien, C. (2016). Approximated Environment Features With Application to Trajectory Annotation. Proceedings of the 6th IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016).
  114. Feld, S., Schönfeld, M., & Werner, M. (2016). Traversing Bitcoin’s P2P Network: Insights into the Structure of a Decentralized Currency. International Journal of Computational Science and Engineering, Special Issue on Security and Trust Issues in Peer-to-Peer Networks, 13(2), 122–131.
  115. Werner, M. (2015). GISCUP 2015: Notes on Routing with Polygonal Constraints. SIGSPATIAL GIS CUP 15, in Conjunction with 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015). [PDF]
  116. Werner, M. (2015). BACR: Set Similarities with Lower Bounds and Application to Spatial Trajectories. 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015). [PDF]
  117. Werner, M., & Schönfeld, M. (2015). The Gaussian Bloom Filter. In Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA’15), Part I, LNCS 9049 (pp. 191–206). [PDF]
  118. Feld, S., Werner, M., Schönfeld, M., & Hasler, S. (2015). Archetypes of Alternative Routes in Buildings. Proceedings of the 6th International Conference on Indoor Positioning and Indoor Navigation (IPIN). [PDF]
  119. Ebert, A., Marouane, C., Rott, B., & Werner, M. (2015). KeyPocket - Imroving Security and Usability for Provider-Independent Login Architectures with Mobile Devices. 11th EAI International Conference on Security and Privacy in Communication Networks (SECURECOMM). [PDF]
  120. Ebert, A., Feld, S., & Werner, M. (2015). Nuanced Collision Detection for Parked Vehicles. To Appear, Proceedings of the 12. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen Und Dienste.
  121. Schauer, L., & Werner, M. (2015). Clustering of Inertial Indoor Positioning Data. 1st KuVS Expert Talk on Localization.
  122. Schönfeld, M., Werner, M., Linnhoff-Popien, C., & Erk, A. (2015). Towards a Privacy-Preserving Hybrid Radio Network: Design and Open Challenges. Proceedings of the 15th International Conference on Innovations for Community Services (I4CS). [PDF]
  123. Schauer, L., & Werner, M. (2015). Kundenmonitoring im stationären Handel. In Marktplätze im Umbruch - Digitale Strategien für Services im Mobilen Internet (pp. 73–82). Springer-Verlag Berlin Heidelberg.
  124. Werner, M., Dorfmeister, F., & Schönfeld, M. (2015). AMBIENCE: A Context-Centric Online Social Network. 12th IEEE Workshop on Positioning, Navigation and Communications (WPNC ’15). [PDF]
  125. Schauer, L., & Werner, M. (2015). Analyzing Pedestrian Flows Based on Wi-Fi and Bluetooth Captures. EAI Endorsed Transactions on Ubiquitous Environments, 15(4).
  126. Werner, M. (2014). Indoor Location-Based Services: Prerequisites and Foundations. Springer.
  127. Werner, M., & Feld, S. (2014). Homotopy and Alternative Routes in Indoor Navigation Scenarios. Proceedings of the 5th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014).
  128. Werner, M., Schauer, L., & Scharf, A. (2014). Reliable Trajectory Classification Using Wi-Fi Signal Strength in Indoor Scenarios. Proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS 2014). [PDF]
  129. Kessel, M., Werner, M., Gschwandtner, F., & Linnhoff-Popien, C. (2014). Tracking and Navigation for Goods and People. In Encyclopedia of Automotive Engineering. John Wiley & Sons. [PDF]
  130. Feld, S., & Werner, M. (2014). Compression of GPS Tracks Using Map Information. Proceedings of the 11. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen Und Dienste.
  131. Beck, M. T., Werner, M., Feld, S., & Schimper, T. (2014). Mobile Edge Computing: A Taxonomy. Proceedings of the Sixth International Conference on Advances in Future Internet (AFIN 2014).
  132. Marouane, C., Maier, M., Feld, S., & Werner, M. (2014). Visual Positioning Systems – An Extension to MoVIPS. Proceedings of the 5th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014).
  133. Schauer, L., Werner, M., & Marcus, P. (2014). Estimating Crowd Densities and Pedestrian Flows Using Wi-Fi and Bluetooth. Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS’14). [PDF]
  134. Schönfeld, M., & Werner, M. (2014). Distributed Privacy-Preserving Mean Estimation. Proceedings of the 2nd International Conference on Privacy and Security in Mobile Systems (PRISMS 2014). [PDF]
  135. Feld, S., Schönfeld, M., & Werner, M. (2014). Analyzing the Deployment of Bitcoin’s P2P Network under an AS-level Perspective. Proceedings of the 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014) and the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014), 1121–1126.
  136. Schönfeld, M., & Werner, M. (2013). Node Wake-Up via OVSF-Coded Bloom Filters in Wireless Sensor Networks. Proceedings of the 5th International Conference on Ad Hoc Networks (ADHOCNETS 2013).
  137. Feld, S., & Werner, M. (2013). Efficient Path Planning Involving Equivalent Places. Proceedings of the 10. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen Und Dienste, 13–23. [PDF]
  138. Marcus, P., Kessel, M., & Werner, M. (2013). Dynamic Nearest Neighbors and Online Error Estimation for SMARTPOS. International Journal On Advances in Internet Technology, 6(1 and 2). [PDF]
  139. Werner, M., & Schönfeld, M. (2013). DualCodes: Backward-Compatible Multi-Layer 2D-Barcodes. Proceedings of the 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, LNICST 120, 25–36. [PDF]
  140. Werner, M. (2012). Ubiquitous Navigation: Skalierbare ortsbezogene Dienste in Gebäuden. Dissertation, Logos Verlag Berlin. [PDF]
  141. Preis, J., Kessel, M., Werner, M., & Linnhoff-Popien, C. (2012). Gait Recognition with Kinect. Proceedings of the First Workshop on Kinect in Pervasive Computing. [PDF]
  142. Schönfeld, M., Werner, M., & Dorfmeister, F. (2012). Location-based Access Control Providing One-Time Passwords Through 2D Barcodes. 9. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen Und Dienste, 165–168. [PDF]
  143. Scheuermann, C., Werner, M., Kessel, M., Linnhoff-Popien, C., & Verclas, S. A. W. (2012). Evaluation of Barcode Decoding Performance using ZXING Library. Proceedings of the Second Workshop on Smart Mobile Applications (SmartApps’12). [PDF]
  144. Kessel, M., & Werner, M. (2012). Automated WLAN Calibration with a Backtracking Particle Filter. International Conference on Indoor Positioning and Indoor Navigation (IPIN’12). [PDF]
  145. Werner, M., Kessel, M., Gschwandtner, F., Dürr, M., Wiesner, K., & Mair, T. (2012). Technologische Herausforderungen für kontextsensitive Geschäftsanwendungen. In Smart Mobile Apps: Mit Business-Apps ins Zeitalter mobiler Geschäftsprozesse. Springer. [PDF]
  146. Kessel, M., Werner, M., & Linnhhoff, C. (2012). Compass and WLAN Integration for Indoor Tracking on Mobile Phones. Proceedings of the Sixth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2012). [PDF]
  147. Werner, M., & Kessel, M. (2012). A Bitmap-Centric Environmental Model for Mobile Navigation Inside Buildings. International Journal On Advances in Networks and Services, 5(1 and 2), 91–101. [PDF]
  148. Werner, M. (2011). Simulation WLAN-basierter Indoor-Positionierung unter Verwendung von CAD-Plänen. Tagungsband Des 8. GI/KuVS-Fachgespräches Ortsbezogene Anwendungen Und Dienste. [PDF]
  149. Heidrich, W., Schulze, M., Kessel, M., & Werner, M. (2011). Robustes Map-Matching hoch aufgelöster, fahrzeugbasierter GPS-Tracks. Tagungsband Des 8. GI/KuVS-Fachgespräches Ortsbezogene Anwendungen Und Dienste. [PDF]
  150. Werner, M., & Roth, J. (Eds.). (2011). Tagungsband des 8. GI/KuVS-Fachgespräches Ortsbezogene Anwendungen und Dienste. Logos Verlag Berlin.
  151. Werner, M. (2011). Datenschutz in ortsbasierten Diensten. Digma: Zeitschrift Für Datenrecht Und Informationssicherheit, 11(2), 54–59. [PDF]
  152. Werner, M. (2011). Efficiently Using Bitmap Floorplans for Indoor Navigation on Mobile Phones. Proceedings of the Seventh International Conference on Wireless and Mobile Communications (ICWMC 2011), 225–230. [PDF]
  153. Werner, M. (2011). Selection and Ordering of Points-of-Interest in Large-Scale Indoor Navigation Systems. Proceedings of the 35th IEEE Annual Computer Software and Applications Conference (COMPSAC’11), 504–509. [PDF]
  154. Werner, M., Kessel, M., & Marouane, C. (2011). Indoor positioning using smartphone camera. International Conference on Indoor Positioning and Indoor Navigation (IPIN’11). [PDF]
  155. Kessel, M., & Werner, M. (2011). SMARTPOS: Accurate and Precise Indoor Positioning on Mobile Phones. The First International Conference on Mobile Services, Resources, and Users (MOBILITY’11), 158–163. [PDF]
  156. Duchon, M., Andreas, P., & Werner, M. (2011). Mobile Anwendung zur Routenplanung mit öffentlichen Verkehrsmitteln basierend auf OpenStreetMap-Daten. Tagungsband Der Anwenderkonferenz Für Freie Und Open Source Software Für Geoinformationssysteme (FOSSGIS’11). [PDF]
  157. Werner, M. (2016). Privacy-Protected Communication for Location-based Services. Security and Communication Networks. [PDF]
  158. Werner, M. (2010). A Privacy-Enabled Architecture for Location-Based Services. In Security and Privacy in Mobile Information and Communication Systems (Vol. 47, pp. 80–90). Springer Berlin Heidelberg. [PDF]
  159. Werner, M., Verclas, S. A. W., & Linnhoff-Popien, C. (2010). A Workflow Definition Language for Business Integration of Mobile Devices. In Mobile Wireless Middleware, Operating Systems, and Applications (Vol. 48, pp. 353–362). Springer Berlin Heidelberg. [PDF]
  160. Werner, M., & Kessel, M. (2010). Organisation of Indoor Navigation data from a data query perspective. Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), 2010, 1–6. [PDF]
  161. Dürr, M., Werner, M., & Maier, M. (2010). Re-Socializing Online Social Networks. IEEE/ACM Internationall Conference on Cyber, Physical and Social Computing (CPSCom), 786–791. [PDF]

Kontakt

Professur für
Big Geospatial Data Management

Lise-Meitner-Str. 9
85521 Ottobrunn
martin.werner@tum.de
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Aktuelles

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Best Paper Award at IEEE WACV 2024 GeoCV Workshop
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Academic Staff (PhD / Postdoc) for Big Geospatial Data Management (m/w/d)
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We took part in the 'Data Challenge: Mobile Phone Data' by BERD@NFDI
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EduHub NFDI4Earth Introduction Course to Python
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ACM MULTIMEDIA 2024 - Challenge on Drone Localization won again.
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© 2020 M. Werner