In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Voi. XXXVIII, Part 7B 
parameters settings and show the overall performance of the 
suggested AIRTop algorithm based on a standard evaluation set. 
Then, we evaluate the effect of multi-temporal and multi-sensor 
parameters. AIRTop has already been tested in a few real-world 
applications. Taking this application a bit further, we focus in 
this article on the more difficult problem of cameras calibration 
and temporal changes. AIRTop manages to calibrate the 
cameras even in challenging cases reliably and accurately. 
Figure 1. A flow-chart representing the AIRTop Algorithm, orange region is stage 1 (feature extraction), blue region is stage 2 
(topology map-matching), purple region is stage 3 (matching process), green region is stage 4 (validation and accuracy)