Total Variation Regularized Weighted Tensor Ring Decomposition for Missing Data Recovery in High-Dimensional Optical Remote Sensing Images.
Minghua WangQiang WangJocelyn ChanussotDanfeng HongPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- missing data
- remote sensing images
- total variation
- high dimensional
- regularization methods
- image restoration
- tensor decomposition
- change detection
- low rank
- denoising
- remote sensing
- multispectral
- image denoising
- dimensionality reduction
- convex optimization
- missing values
- total least squares
- image processing
- incomplete data
- high order
- satellite images
- regularization method
- motion segmentation
- least squares
- matrix factorization
- high dimensional data
- low dimensional
- higher order
- image analysis
- machine learning
- hyperspectral
- tensor factorization
- regularization parameter
- pairwise
- pattern recognition
- feature space
- data points
- natural images
- nearest neighbor
- feature extraction
- data sets
- markov random field