Low-Rank Tensor Decomposition With Smooth and Sparse Regularization for Hyperspectral and Multispectral Data Fusion.
Fei MaFeixia YangYanwei WangPublished in: IEEE Access (2020)
Keyphrases
- data fusion
- tensor decomposition
- multispectral
- hyperspectral
- low rank
- rank minimization
- remote sensing
- missing data
- convex optimization
- hyperspectral images
- linear combination
- high order
- multi sensor
- hyperspectral imagery
- low rank matrix
- image data
- spatial resolution
- matrix factorization
- hyperspectral data
- multispectral images
- satellite images
- matrix completion
- spectral bands
- singular value decomposition
- high dimensional data
- auxiliary information
- semi supervised
- image analysis
- fusion method
- similarity measure
- multiscale