Hyperspectral Image Restoration via Subspace-Based Nonlocal Low-Rank Tensor Approximation.
Yanhong YangYuan FengJianhua ZhangShengyong ChenPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- image restoration
- low rank
- hyperspectral
- high dimensional data
- high order
- convex optimization
- total variation
- dimensionality reduction
- remote sensing
- infrared
- multispectral
- markov random field
- singular value decomposition
- image data
- super resolution
- linear combination
- matrix factorization
- missing data
- image processing
- subspace clustering
- spatial resolution
- kernel matrix
- higher order
- low dimensional
- principal component analysis
- data sets
- semi supervised
- regularization parameter
- original data
- data points
- nearest neighbor
- high dimensional
- blurred images
- least squares
- principal components
- feature space
- computer vision
- wavelet transform