Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation.
Xin-Ru FengHeng-Chao LiJun LiQian DuAntonio PlazaWilliam J. EmeryPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- nonnegative matrix factorization
- total variation
- hyperspectral
- image restoration
- denoising
- hyperspectral images
- image denoising
- remote sensing
- multispectral
- hyperspectral data
- infrared
- negative matrix factorization
- convex optimization
- matrix factorization
- image data
- image processing
- data representation
- hyperspectral imagery
- least squares
- principal component analysis
- spectral clustering
- high dimensional
- sparse representation
- augmented lagrangian
- interior point
- satellite images
- information content
- original data
- multiresolution
- multiscale
- data sets
- document clustering
- signal processing
- image analysis
- pairwise
- pattern recognition
- objective function