Hyperspectral Unmixing Based on Sparsity-Constrained Nonnegative Matrix Factorization with Adaptive Total Variation.
Xin-Ru FengHeng-Chao LiRui WangPublished in: IGARSS (2019)
Keyphrases
- total variation
- hyperspectral
- nonnegative matrix factorization
- image restoration
- denoising
- image denoising
- hyperspectral images
- remote sensing
- hyperspectral data
- multispectral
- negative matrix factorization
- infrared
- matrix factorization
- hyperspectral imagery
- data representation
- least squares
- image data
- convex optimization
- image processing
- augmented lagrangian
- spectral clustering
- information content
- sparse representation
- natural images
- principal component analysis
- high dimensional
- interior point
- satellite images
- pattern recognition
- computer vision
- machine learning
- original data
- clustering method
- objective function
- multiscale