Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing.
Wei HeHongyan ZhangLiangpei ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2017)
Keyphrases
- total variation
- nonnegative matrix factorization
- hyperspectral
- least squares
- image restoration
- denoising
- hyperspectral images
- image denoising
- remote sensing
- negative matrix factorization
- infrared
- hyperspectral data
- multispectral
- sparse representation
- matrix factorization
- convex optimization
- regularized least squares
- data representation
- image data
- image processing
- hyperspectral imagery
- augmented lagrangian
- satellite images
- principal component analysis
- total least squares
- spectral clustering
- random projections
- original data
- objective function
- natural images
- information content
- document clustering
- face recognition
- super resolution
- collaborative filtering
- high dimensional
- sparse coding
- regularization parameter
- image classification
- object recognition