Talks and Poster Presentations (with Proceedings-Entry):
A. Amor-Amoros, P. Federico, S. Miksch, S. Zambanini, S. Brenner, R. Sablatnig:
"Visual Analytics for Multitemporal Aerial Image Georeferencing";
Talk: 8th International EuroVis Workshop on Visual Analytics (EuroVA),
- 2017-06-13; in: "Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA)",
M. Sedlmair, C. Tominski (ed.);
Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like unexploded ordnance detection. In order to make a semi-automatic scenario possible, we introduce a Visual Analytics approach for multitemporal aerial image georeferencing designed in close collaboration with real-world analysts that face the problem on a daily basis, and implemented by combining computer vision and interactive visual exploration methods. We report on informal validation findings resulting from the integration of our solution into our users´ GIS platform of choice, which positively illustrate its effectiveness and time-saving potential.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.