Cargando…
Correction of Range-Variant Motion Error and Residual RCM in Sparse Regularization SAR Imaging
L(q) (0 < q ≤ 1) regularization has been confirmed effective when applied to sparse SAR imaging. However, the inaccuracies caused by motion errors in the observation model will lead to various degradations and defocus in the reconstructed image. For high-resolution and light-small SAR systems, th...
Autores principales: | Zhang, Jingyi, Ni, Jiacheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608217/ https://www.ncbi.nlm.nih.gov/pubmed/36298278 http://dx.doi.org/10.3390/s22207927 |
Ejemplares similares
-
Correcting Spatial Variance of RCM for GEO SAR Imaging Based on Time-Frequency Scaling
por: Yu, Ze, et al.
Publicado: (2016) -
Manifold regularization for sparse unmixing of hyperspectral images
por: Liu, Junmin, et al.
Publicado: (2016) -
Rhinocerebral mucormycosis (RCM): To study the clinical spectrum and outcome of 61 cases of RCM managed at a tertiary care center in India
por: Sharma, Anil Kumar, et al.
Publicado: (2023) -
On the Chloride Distribution in Concrete and Mortar Samples after an RCM Test
por: Drenkard, Hannah, et al.
Publicado: (2023) -
Design of a Subretinal Injection Robot Based on the RCM Mechanism
por: Yan, Chenyu, et al.
Publicado: (2023)