The project DeVisOR – ‘Detection and Visualization of Unexploded Ordnance Risks’ – is concerned with the analysis of historic air photos (images) with the overall goal of detecting unexploded bombs. This work is performed by the Luftbilddatenbank Dr. Carls GmbH, Vienna. In the DeVisOR project interactive software tools are developed that will support the work of the LBDB employees. These tools incorporate new methods belonging to the fields of Computer Vision and Visual Analytics.
Zambanini S., Sablatnig R. “A Hough Voting Strategy for Registering Historical Aerial Images to Present-Day Satellite Imagery“, 19th International Conference on Image Analysis and Processing, pp. 595-605, Catania, Italy, September 2017.
Amor-Amorós A., Federico P., Miksch S., Zambanini S., Brenner S., Sablatnig R. “Visual Analytics for Multitemporal Aerial Image Georeferencing“, 8th International EuroVis Workshop on Visual Analytics, Barcelona, Spain, June 2017.
Brenner S., Zambanini S., Sablatnig R. “Image Registration and Object Detection for Assessing Unexploded Ordnance Risks ‐ A Status Report of the DeVisOR Project”, Proceedings of the 2nd OAGM-ARW Joint Workshop, pp. 109-110, Vienna, Austria, May 2017 (accepted).
Federico, P., M. Wagner, A. Rind, A. Amor-Amorós, S. Miksch, W. Aigner, “The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics“, Proceedings of the IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2017), In Press.
Zambanini S., Hollaus F. , Sablatnig R. “DeVisOR – Detection and Visualization of Unexploded Ordnance Risks“, Proceedings of the 1st OAGM-ARW Joint Workshop, pp. 1-3, Wels, Austria, May 2016.
Federico, P., A. Amor-Amorós, Miksch S., “A Nested Workflow Model for Visual Analytics Design and Validation“, Proceedings of the Sixth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualisation (BELIV ’16), Baltimore, MD, USA, ACM, pp. 104–111, 2016.