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

Author

Bokaderov, Sergei ; Maresch, Anika ; Schimpf, Hartmut ; Essen, Helmut ; Wellig, Peter

Author_Institution

Dept. MHS, Fraunhofer Inst. for High Freq. Phys. & Radar Tech., Wachtberg, Germany

fYear

2012

fDate

22-27 July 2012

Firstpage

3867

Lastpage

3870

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.

Keywords

image recognition; learning (artificial intelligence); measurement systems; radar imaging; synthetic aperture radar; EOSAR; SAR-scene simulator; automatic target recognition; background signature; image intelligence; insert target measurement; real target signature; synthetic aperture radar; tower-turntable configuration; Antennas; Azimuth; Design automation; Noise; Solid modeling; Synthetic aperture radar; EOSAR; ISAR; SAR; SAR blending; automatic target recognition; camouflage; image intelligence; scene modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6350568

Filename

6350568