A concept for building reconstruction from airborne multi-aspect SAR data

In this work we present a new concept towards building reconstruction based on multi-aspect SAR (MASAR) data where we make use of the inherent redundancy and contradiction of MASAR data. Instead of treating every aspect seperately we perform a joint optimization on all available data. For this purpose we use Probabilistic Graphical Model (PGM) as a declarative representation to encode our knowledge and to reconstruct the most likely objects in the scene.