Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

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.

References

    1. 1)
      • 3. Soccorsi, M.: ‘Parameter estimation and modeling of high resolution synthetic aperture radar data’. PhD thesis, École Nationale Supérieure des Télécommunications, 2010.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.3239
Loading

Related content

content/journals/10.1049/el.2017.3239
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Correspondence
This article has following corresponding article(s):
interview
This is a required field
Please enter a valid email address