During various campaigns, multispectral data have been gathered with airborne sensors over typical urban environments. For each of these scenes passive IR-systems, as well as laser-scanners, mm-wave radars under different operating modes, forward-looking with beam scanning antennas, side-looking SAR and interferometric SAR for 3D-imaging, have been employed. For these sample scenarios advanced image based pattern recognition algorithms have been validated and the features of each sensor have been studied to allow to choose the optimum sensor combination for a specific application. The contribution describes the different sensors and gives an overview over the image material for the sample scenes. Methods of image discrimination for the urban environment are discussed.