The miniature SAR-system MiSAR has been developed by EADS Germany for lightweight UAVs like the LUNASystem.
MiSAR adds to these tactical UAV-systems the all-weather reconnaissance capability, which is missing until
now. Unlike other SAR sensors, that produce large strip maps at update rates of several seconds, MiSAR generates
sequences of SAR images with approximately 1 Hz frame rate.
photo interpreters (PI) of tactical drones, now mainly experienced with visual interpretation, are not used to SARimages,
especially not with SAR-image sequence characteristics. So they should be supported to improve their ability to
carry out their task with a new, demanding sensor system. We have therefore analyzed and discussed with military PIs in
which task MiSAR can be used and how the PIs can be supported by special algorithms.
We developed image processing- and exploitation-algorithms for such SAR-image sequences. A main component is the
generation of image sequence mosaics to get more oversight. This mosaicing has the advantage that also non straight
/linear flight-paths and varying squint angles can be processed. Another component is a screening-component for manmade
objects to mark regions of interest in the image sequences. We use a classification based approach, which can be
easily adapted to new sensors and scenes. These algorithms are integrated into an image exploitation system to improve
the image interpreters ability to get a better oversight, better orientation and helping them to detect relevant objects,
especially considering long endurance reconnaissance missions.