Bayesian Compressive Sensing Approaches for the Reconstruction of Two-Dimensional Sparse Scatterers Under TE Illuminations.
Lorenzo PoliGiacomo OliveriPaolo RoccaAndrea MassaPublished in: IEEE Trans. Geosci. Remote. Sens. (2013)
Keyphrases
- compressive sensing
- signal reconstruction
- random projections
- compressive sampling
- sparse representation
- image recovery
- signal processing
- image representation
- sparse reconstruction
- distributed source coding
- neural network
- machine learning
- preprocessing
- dimensionality reduction
- structured sparsity
- orthogonal matching pursuit