Removal of Mixed Noise in Hyperspectral Images Based on Subspace Representation and Nonlocal Low-Rank Tensor Decomposition.
Chun HeYouhua WeiKe GuoHongwei HanPublished in: Sensors (2024)
Keyphrases
- low rank
- tensor decomposition
- hyperspectral images
- missing data
- high dimensional data
- rank minimization
- convex optimization
- data representation
- matrix factorization
- hyperspectral
- linear combination
- high order
- low rank matrix
- matrix completion
- auxiliary information
- semi supervised
- singular value decomposition
- tensor factorization
- small number
- singular values
- dimensionality reduction
- remote sensing
- motion segmentation
- high dimensional
- feature space
- image representation
- particle filter
- denoising
- data sets
- subband
- knn
- active learning
- data analysis
- computer vision