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2011
Conference Paper
Title
EOSAR - a tool for the blending of real objects into SAR scenes
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.
Conference