Interferometric SAR Phase Denoising Using Proximity-Based K-SVD Technique

This paper addresses the problem of interferometric noise reduction in Synthetic Aperture Radar (SAR) interferometry based on sparse and redundant representations over a trained dictionary. The idea is to use a Proximity-based K-SVD (ProK-SVD) algorithm on interferometric data for obtaining a suitab...

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Detalles Bibliográficos
Autores principales: Ojha, Chandrakanta, Fusco, Adele, Pinto, Innocenzo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631175/
https://www.ncbi.nlm.nih.gov/pubmed/31207884
http://dx.doi.org/10.3390/s19122684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631175/
https://www.ncbi.nlm.nih.gov/pubmed/31207884
http://dx.doi.org/10.3390/s19122684

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