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SAR imaging from incomplete data using elastic net regularisation

SAR imaging from incomplete data using elastic net regularisation

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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.

References

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      • M. Soccorsi .
        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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