A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing.
Tales ImbiribaRicardo Augusto BorsoiJosé Carlos Moreira BermudezPublished in: SSP (2018)
Keyphrases
- hyperspectral
- trace norm
- low rank
- hyperspectral images
- hyperspectral data
- rank minimization
- remote sensing
- multispectral
- high order
- infrared
- matrix completion
- multi task
- image data
- linear combination
- hyperspectral imagery
- convex optimization
- spatial resolution
- matrix factorization
- missing data
- target detection
- low rank matrix
- semi supervised
- minimization problems
- information content
- singular value decomposition
- kernel matrix
- tensor decomposition
- high dimensional data
- norm minimization
- higher order
- pairwise
- machine learning
- data sets
- high quality
- satellite images
- data analysis