Visual exploration of multi-temporal aerial images

Problem: 

Modern computer technologies provide better than ever before opportunities for storage, management, visualization, and analysis of dynamic, i.e. temporally variable, data, including dynamic spatial data (further referred to as spatio-temporal data). Researchers utilize these opportunities in designing new techniques and developing software tools to support visual analysis of spatio-temporal data, for example to identify events and existential changes.

Aim: 

You will participate in the development of a Visual Analytics research prototype, supporting the analysis of multitemporal aerial imagery using computer vision methods for image registration and object detection.

Topics: 
Visual Analytics, GIS, spatio-temporal data, historical aerial images
Other information: 

Starting point: N. Andrienko, G. Andrienko, P. Gatalsky, Exploratory spatio-temporal visualization: an analytical review, Journal of Visual Languages & Computing, Volume 14, Issue 6, December 2003, Pages 503-541

Scope: 
PR
Contact: 
Albert Amor-Amorós, by appointment, amor [at] ifs.tuwien.ac.at
Area: 
Visual Analytics (VA)
Status: 
open