L-Hypersurface Based Parameters Selection in Composite Regularization Models With Application to SAR and TomoSAR Imaging

Composite regularization models are widely used in sparse signal processing, making multiple regularization parameters selection a significant problem to be solved. Variety kinds of composite regularization models are used in sparse microwave imaging, including <inline-formula><tex-math notation="La...

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Detalles Bibliográficos

Principais autores:	Yizhe Fan, Kun Wang, Jie Li, Guoru Zhou, Bingchen Zhang, Yirong Wu
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2023-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Composite regularization l-hypersurface regularization parameter selection sparse signal processing synthetic aperture radar (SAR) tomographic SAR (TomoSAR)
Acceso en liña:	https://ieeexplore.ieee.org/document/10241968/
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