Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

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

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


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
International Geoscience and Remote Sensing Symposium (IGARSS) <2012, Munich>
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 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.