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

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 not...

Full description

Bibliographic Details
Main Authors: Yizhe Fan, Kun Wang, Jie Li, Guoru Zhou, Bingchen Zhang, Yirong Wu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Composite regularization
l-hypersurface
regularization parameter selection
sparse signal processing
synthetic aperture radar (SAR)
tomographic SAR (TomoSAR)
Online Access:https://ieeexplore.ieee.org/document/10241968/

Internet

https://ieeexplore.ieee.org/document/10241968/

Similar Items