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access icon free Adaptive phase-singular-unit restoration with entire-spectrum-processing complex-valued neural networks in interferometric SAR

A singular-unit restoration filter based on complex-valued neural networks that deal with spatial spectrum in interferometric synthetic aperture radar is proposed. This filter utilises more neural generalisation ability than conventional methods. In experiments, it shows a higher accuracy as well as shorter processing time than conventional real-space filters and shorter learning time than previous spectral-domain learning filters.

References

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.2680
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