EOSAR, a SAR-scene simulator based upon real target and background signatures

Algorithms for automatic target recognition and image intelligence have to be trained on the largest possible data base. A way to avoid excessive and costly measurement campaigns is to insert targets that were measured in a tower/turntable configuration, into pre-existing scenes of a synthetic aperture radar (SAR). This blending has to be performed within the SAR processing chain such that the result is identical to a measurement with the target present in the scene during the SAR overflight.