Keyphrases
Self-similarity
100%
Hyperspectral Image Denoising
100%
Local Low-rank
100%
Low Dimensionality
66%
Hyperspectral
66%
Real Image
33%
Computational Complexity
33%
Denoising
33%
High Correlation
33%
Matrix Laboratory (MATLAB)
33%
Signal-to-noise Ratio
33%
Low-rank Tensor
33%
Singular Value Decomposition
33%
Spectral Resolution
33%
Representation Coefficients
33%
Singular Values
33%
Low-rank Tensor Approximation
33%
Shrinkage Thresholding
33%
Denoising Performance
33%
Optimal Shrinkage
33%
Tensor Unfolding
33%
Vector Similarity
33%
Global Property
33%
Subspace Representation
33%
Denoising Techniques
33%
Low-dimensional Subspace
33%
Engineering
Hyperspectral Image
100%
Dimensionality
66%
Similarity
66%
Rank Tensor
66%
Signal-to-Noise Ratio
33%
Computational Complexity
33%
Singular Value Decomposition
33%
Reflectance
33%
Singular Value
33%
Global Property
33%
Spectral Resolution
33%
Dimensional Subspace
33%
Computer Science
de-noising
100%
image denoising
100%
Hyperspectral Image
100%
Singular Value
66%
Computational Complexity
33%
High Correlation
33%
Reproducibility
33%
Noise-to-Signal Ratio
33%
Dimensional Subspace
33%
Mathematics
Factorization
100%
Rank Tensor
66%
Self-Similarity
66%
MATLAB
33%
Singular Value Decomposition
33%
Noise Ratio
33%
Thresholding
33%
Singular Value
33%
Dimensional Subspace
33%