Hyperspectral unmixing by reweighted low rank and total variation.
Rui WangWenzhi LiaoHeng-Chao LiHongyan ZhangAleksandra PizuricaPublished in: WHISPERS (2016)
Keyphrases
- low rank
- hyperspectral
- total variation
- convex optimization
- hyperspectral images
- image restoration
- denoising
- hyperspectral data
- remote sensing
- minimization problems
- image denoising
- multispectral
- infrared
- low rank matrix
- image data
- matrix completion
- hyperspectral imagery
- kernel matrix
- spatial resolution
- image processing
- trace norm
- singular value decomposition
- regularization term
- missing data
- information content
- matrix factorization
- linear combination
- high dimensional data
- norm minimization
- semi supervised
- high dimensional
- natural images
- machine learning
- data sets