Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing.
Tao ChenYang LiuYuxiang ZhangBo DuAntonio PlazaPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- hyperspectral
- rank minimization
- low rank
- kernel matrices
- hyperspectral images
- hyperspectral data
- low rank matrix
- trace norm
- remote sensing
- multispectral
- infrared
- linear combination
- missing data
- image data
- matrix completion
- low rank matrices
- convex optimization
- matrix factorization
- singular value decomposition
- hyperspectral imagery
- minimization problems
- high dimensional data
- target detection
- spatial resolution
- kernel matrix
- semi supervised
- satellite images
- regularized regression
- information content
- high order
- similarity measure
- feature selection
- multispectral images
- machine learning
- kernel methods
- least squares
- image analysis
- pairwise
- high quality
- image segmentation
- computer vision