Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability.
Tales ImbiribaRicardo Augusto BorsoiJosé Carlos Moreira BermudezPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- hyperspectral
- low rank
- hyperspectral images
- trace norm
- hyperspectral data
- high order
- hyperspectral imagery
- remote sensing
- infrared
- multispectral
- linear combination
- missing data
- tensor decomposition
- matrix completion
- singular value decomposition
- target detection
- image data
- matrix factorization
- convex optimization
- hyperspectral remote sensing
- spectral bands
- spectral data
- spectral resolution
- semi supervised
- information content
- spatial resolution
- kernel matrix
- high dimensional data
- satellite images
- reflectance spectra
- low dimensional
- random projections
- principal component analysis
- recommender systems
- spectral signatures
- multi task
- image analysis