DocumentCode :
544153
Title :
EOSAR — A tool for the blending of real objects into SAR scenes
Author :
Bokaderov, Sergei ; Laubach, Marcel ; Schimpf, Hartmut ; Wellig, Peter
Author_Institution :
Fraunhofer - FHR / MHS, Werthhoven, Germany
fYear :
2011
fDate :
14-16 March 2011
Firstpage :
1
Lastpage :
4
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 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.
Keywords :
object detection; radar signal processing; synthetic aperture radar; EOSAR; SAR scenes; automatic target recognition; blending; image intelligence; largest possible data base; real objects; ISAR; SAR; automatic target recognition; camouflage; image intelligence; scene modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Conference (GeMIC), 2011 German
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-9225-1
Electronic_ISBN :
978-3-9812668-3-2
Type :
conf
Filename :
5760763
Link To Document :
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