Image Reconstruction for Low-Oversampled Staggered SAR Based on Sparsity Bayesian Learning in the Presence of a Nonlinear PRI Variation Strategy.
Yun ZhangXin QiYicheng JiangHongbo LiZitao LiuPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- image reconstruction
- bayesian learning
- synthetic aperture radar
- model selection
- maximum a posteriori
- super resolution
- posterior distribution
- compressed sensing
- emission computed tomography
- reconstruction method
- image reconstruction algorithms
- sparse representation
- high dimensional
- higher order
- random projections
- high resolution
- sparsely sampled
- feature selection