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Robust processing of SAR hologram data to mitigate impulse noise impairments

Kurekin, Andriy Alexandrovich, Marshall, Andrew David, Radford, Darren Lee and Lever, Kenneth Vincent 2005. Robust processing of SAR hologram data to mitigate impulse noise impairments. Presented at: 8th International Conference on Information Fusion 2005, Philadelphia, PA, USA, 25-28 July 2005. Information Fusion, 2005 8th International Conference on. IEEE, pp. 538-545. 10.1109/ICIF.2005.1591901

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Abstract

The standard linear algorithm for synthetic aperture radar (SAR) image synthesis consists of fusing the real and imaginary components of the hologram data, and applying a matched filter to the radar returns from each point to generate the SAR image. This algorithm becomes inefficient when the SAR hologram data are corrupted by impulse noise due to data transmission and coding/decoding errors. The degradation of synthesized SAR images in the presence of impulse noise in the hologram data is considered and new nonlinear algorithms based on robust estimation are proposed. Experimental results for measured SAR data are presented. It is shown that the proposed algorithms efficiently reject impulse noise and substantially improve SAR image quality

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords: Synthetic aperture radar, fusion, hologram, image synthesis, robust estimate
Publisher: IEEE
ISBN: 0780392868
Last Modified: 14 Oct 2017 19:31
URI: http://orca-mwe.cf.ac.uk/id/eprint/43601

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