Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm.
Pengfei LiuLanlan LiuPublished in: IGARSS (2023)
Keyphrases
- low rank
- hyperspectral images
- nuclear norm
- denoising
- high order
- trace norm
- hyperspectral
- frobenius norm
- low rank matrix
- tensor decomposition
- convex optimization
- total variation
- matrix completion
- image denoising
- low rank matrices
- missing data
- linear combination
- remote sensing
- matrix factorization
- kernel matrix
- image processing
- singular value decomposition
- natural images
- semi supervised
- higher order
- rank minimization
- minimization problems
- multispectral
- data matrix
- high dimensional data
- norm minimization
- singular values
- image data
- interior point methods
- image restoration
- wavelet transform
- affinity matrix
- pairwise
- nearest neighbor
- feature selection
- data sets