Abstract:
This thesis addresses the classification of Urban Structure Types (USTs) from spaceborne interferometric radar images. Probabilistic graphical models were used for modeling the mutual influences between neighboring urban blocks regarding their class assignments. Five different graph structures combined with seven different parameterizations were investigated and compared. By considering the context of each block, overall accuracies of up to 78% could be achieved.