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

 
: Bokaderov, S.; Maresch, A.; Schimpf, H.; Essen, H.; Wellig, P.

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Institute of Electrical and Electronics Engineers -IEEE-; IEEE Geoscience and Remote Sensing Society:
IGARSS 2012, IEEE International Geoscience and Remote Sensing Symposium : Remote sensing for a dynamic earth, 22-27 July 2012, Munich, Germany
Piscataway/NJ: IEEE, 2012
ISBN: 978-1-4673-1158-8
ISBN: 978-1-4673-1160-1 (Print)
ISBN: 978-1-4673-1159-5
S.3867-3870
International Geoscience and Remote Sensing Symposium (IGARSS) <2012, Munich>
Englisch
Konferenzbeitrag
Fraunhofer FHR ()

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-234537.html