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 should provide a systematic overview of existing approaches in scientific literature that use visual analytics methods to explore aerial images over time and identify changes.

(This topic may be extended for a project or master thesis, including the design, implementation, and evaluation of an interactive research prototype.)

Topics: 
Visual Analytics, GIS, spatio-temporal data, historical aerial photos
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: 
SE
Scope: 
BA
Scope: 
PR
Scope: 
MA
Contact: 

Albert Amor-Amorós, by appointment, amor [at] ifs.tuwien.ac.at

Area: 
Visual Analytics (VA)
Status: 
open