Random noise attenuation in seismic data using Hankel sparse low-rank approximation.
Rasoul AnvariAmin Roshandel KahooMehrdad Soleimani MonfaredMokhtar MohammadiRebaz Mohammed Dler OmerAdil Hussien MohammedPublished in: Comput. Geosci. (2021)
Keyphrases
- random noise
- low rank approximation
- seismic data
- singular value decomposition
- low rank matrices
- low rank matrix approximation
- subspace learning
- spectral clustering
- low rank
- kernel matrix
- iterative algorithms
- nonnegative matrix factorization
- latent semantic indexing
- data dependent
- dynamic range
- adjacency matrix
- reconstruction error
- kernel methods
- image processing
- spatially varying
- empirical mode decomposition
- graph matching
- linear combination