Bokaderov, S.S.BokaderovMaresch, A.A.MareschSchimpf, H.H.SchimpfEssen, H.H.EssenWellig, P.P.Wellig2022-03-122022-03-122012https://publica.fraunhofer.de/handle/publica/37820810.1109/IGARSS.2012.6350568Algorithms 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.en621EOSAR, a SAR-scene simulator based upon real target and background signaturesconference paper