In this work we study the feasibility of sparse reconstruction techniques applied to compressed air-to-air ISAR images. The main purpose is to use compressed sensing algorithms to reduce the amount of information needed to manage the acquired hi-res images. In more details, we will apply these techniques to high-resolution Inverse SAR (ISAR) images obtained from a proprietary Selex-Galileo X-band radar. Performance results will be shown by comparing the reconstructed images with the original hi-res ones, demonstrating how the part of information relevant to target aircraft identification, is preserved despite the high compression ratio.
Sparse reconstruction techniques applied to ISAR images, based on compressed sensing
RICARDI, NICCOLO';SAVAZZI, PIETRO;DELL'ACQUA, FABIO;GAMBA, PAOLO ETTORE
2013-01-01
Abstract
In this work we study the feasibility of sparse reconstruction techniques applied to compressed air-to-air ISAR images. The main purpose is to use compressed sensing algorithms to reduce the amount of information needed to manage the acquired hi-res images. In more details, we will apply these techniques to high-resolution Inverse SAR (ISAR) images obtained from a proprietary Selex-Galileo X-band radar. Performance results will be shown by comparing the reconstructed images with the original hi-res ones, demonstrating how the part of information relevant to target aircraft identification, is preserved despite the high compression ratio.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
