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EOSAR - a tool for the blending of real objects into SAR scenes

: Bokaderov, S.; Laubach, M.; Schimpf, H.; Wellig, P.

Institut für Mikrowellen- und Antennentechnik e.V. -IMA-; Institute of Electrical and Electronics Engineers -IEEE-:
GeMIC 2011, German Microwave Conference : 14 - 16 March 2011, Darmstadt, Germany, Digest of Papers
New York, NY: IEEE, 2011
ISBN: 978-1-4244-9225-1
ISBN: 978-3-9812668-3-2
ISBN: 978-3-9812668-2-5
4 S.
German Microwave Conference (GeMiC) <6, 2011, Darmstadt>
Fraunhofer FHR

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 SAR scenes. 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.