3.09. SafeEarth - Multisensorial remote sensing techniques for supporting natural disaster management and hazard preparedness

           Technical University of Denmark 

Research

The project “SafeEarth” deals with the broad spectrum of exploiting remote sensing data in terms of disaster management. We focus in particular on the automatic detection, reconstruction and tracking of infrastructure and relevant objects like roads, buildings, vehicles and people due to their importance for the immediate planning and implementation of emergency actions. Special focus is dedicated to the fast, integrated, geometrically and semantically correct interpretation of airborne and spaceborne images. The exploitation of complementary information from multi-sensorial images, i.e. optical and radar data, leads to synergistic effects enhancing the interpretation of objects. The analysis of multitemporal images or image sequences is important to draw conclusions of the temporal development of disasters concerning several days (e.g. flooding, earthquakes, landslides) or to monitor special events and infrastructure continuously (people tracking, event detection, vehicle tracking), respectively.

To this end, three essential components of image understanding science will be brought together, which reflect also the expertise of the cooperating partners: i) Sensor technology and physical sensor modeling (DLR); ii) Mathematical and statistical modeling in image processing (DTU); iii) automatic image understanding and object extraction (TUM). The comprehensive and complementary expertise of the partners involved in this project will serve as basis for an intensive exchange with the goal to integrate the different research activities in a synergistic fashion under the thematic umbrella of the project.

Publications

Auer, S., Hinz, S., Bamler, R: "Ray Tracing Simulation Techniques for Understanding High Resolution SAR Image", 2014.

Szottka, I., Butenuth, M.: "Advanced particle filtering for airborne vehicle tracking in urban areas", 2014.

Frey, D. et al.: “Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM”, 2012.

Butenuth, M., Frey, D. et al.: "Infrastructure Assessment for Disaster Management using Multi-sensor and Multi-temporal Remote Sensing Imagery", 2012.

Szottka, I., Butenuth, M.: "An adaptive particle filter method for tracking multiple interacting targets", 2011.

Szottka, I., Butenuth, M.: "Tracking multiple vehicles in airborne image sequences of complex urban environments", 2011.

Burkert, F., Butenuth, M.: "Event Detection Based on a Pedestrian Interaction Graph Using Hidden Markov Models", 2011.

Burkert, F., Butenuth, M., Ulrich, M.: "Real-time Object Detection with Subpixel Accuracy Using the Level Set Method", 2011.

Frey, D., Ulrich, M., Hinz, S.: "Evaluierung effizienter Methoden zur Berechnung des optischen Flusses“, 2011.

Auer, S., Gernhardt S., Bamler R.: "Ghost Persistent Scatterers Related to Signal Reflections Between Adjacent Buildings”, 2011.

Zhu, K., d´Angelo, P., Butenuth, M.: "A Performance Study on Different Stereo Matching Costs using Airborne Image Sequences and Satellite images”, 2011.

Zhu, K., Butenuth, M., d'Angelo, P.: "Comparison of Dense Stereo using CUDA”, 2010.

Zhu, K., Butenuth, M., d´Angelo, P.: "Computational Optimized 3D Reconstruction System for Airborne Image Sequences”. Canada, 2010.

Auer S, Balz T, Becker S, Bamler R.: "3D SAR Simulation of Urban Areas Based on Detailed Building Models”, 2010.

Frey, D., Butenuth, M.: “Assessment System of GIS-Objects using Multi-Temporal Imagery for Near-Realtime Disaster Management”, 2010.

Auer, S., Zhu, XX., Hinz, S., Bamler, R.: "3D Analysis of Scattering Effects based on Ray Tracing Techniques”, 2009.

Frey, D., Butenuth, M.: "Near-Realtime Classification of Intact Road Networks for Disaster Management using Multi-sensorial Spaceborne Imagery“, 2009.

Frey, D., Butenuth, M., Hinz, S.: "Automated Detection and Classification of Intact Road Networks in Multi-sensorial Spaceborne Imagery for Near-realtime Disaster Management", 2009.

Frey, D., Butenuth, M.: "Classification System of GIS-Objects using Multi-sensorial Imagery for Near-Realtime Disaster Management" in Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms and Evaluation”, 2009.

Auer, S., Zhu, XX., Hinz, S., Bamler, R.: "Ray Tracing and SAR-Tomography for 3D Analysis of Microwave Scattering at Man-Made Objects”, 2009.

Auer, S., Gernhardt, S., Hinz, S., Adam, N., Bamler, R.: "Simulation of Radar Reflection at Man-Made Objects and its Benefits for Persistent Scatterer Interferometry”, 2008.

Auer, S., Hinz, S., Bamler, R.: "Ray Tracing for Simulating Reflection Phenomena in SAR Images”, 2008.

Team

Project team leader

Dr.-Ing. Stefan Josef Auer
Chair of Remote Sensing Technology

Project team leader

Dr.-Ing. Matthias Butenuth
Chair of Remote Sensing Technology

Doctoral researcher

Dr.-Ing. Ke Zhu
Chair of Remote Sensing Technology

Doctoral researcher

Dr.-Ing. Daniel Frey
Chair of Remote Sensing Technology

Doctoral researcher

Dr.-Ing. Isabella Eckel
Chair of Remote Sensing Technology

Principal investigator

Professor Peter Reinartz
German Aerospace Center (DLR)

Principal investigator

Professor Stefan Hinz
Associate Professorship of Photogrammetry and Remote Sensing 

Principal investigator

Professor Richard Hans Georg Bamler
Chair of Remote Sensing Technology 

Principal investigator

Professor Henning Skriver
Technical University of Denmark

Principal investigator

Dr. Allan A. Nielsen
Technical University of Denmark