Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability.
Tales ImbiribaRicardo Augusto BorsoiJosé Carlos Moreira BermudezPublished in: CoRR (2018)
Keyphrases
- hyperspectral
- low rank
- hyperspectral images
- trace norm
- hyperspectral data
- high order
- remote sensing
- hyperspectral imagery
- multispectral
- infrared
- hyperspectral remote sensing
- spectral bands
- convex optimization
- missing data
- matrix factorization
- tensor decomposition
- image data
- linear combination
- spatial resolution
- kernel matrix
- information content
- target detection
- matrix completion
- singular value decomposition
- semi supervised
- high dimensional data
- multi task
- spectral data
- reflectance spectra
- satellite images
- spectral signatures
- spectral resolution
- data sets
- change detection
- dimensionality reduction
- higher order
- data analysis
- face recognition