access icon free SAR imaging from incomplete data using elastic net regularisation

Synthetic aperture radar imaging suffers significantly from incomplete datasets, where whole pulses are missing. In this Letter, the author introduces an elastic net regularisation to imaging, reducing those artefacts and improving the signal to noise ratio of the image at the same time.

Inspec keywords: synthetic aperture radar; radar imaging

Other keywords: artefact reduction; elastic net regularisation; incomplete data; SAR imaging; signal to noise ratio improvement

Subjects: Optical, image and video signal processing; Radar equipment, systems and applications

References

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      • 3. Soccorsi, M.: ‘Parameter estimation and modeling of high resolution synthetic aperture radar data’. PhD thesis, École Nationale Supérieure des Télécommunications, 2010.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.3239
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