Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis.
Shaohui MeiQianqian BiJingyu JiJunhui HouQian DuPublished in: IEEE Geosci. Remote. Sens. Lett. (2016)
Keyphrases
- hyperspectral
- image analysis
- low rank matrix approximation
- remote sensing
- multispectral
- matrix completion
- hyperspectral imagery
- hyperspectral images
- hyperspectral remote sensing
- spectral bands
- hyperspectral data
- spectral resolution
- satellite images
- infrared
- low rank approximation
- spatial resolution
- change detection
- multispectral images
- spectral signatures
- target detection
- spectral data
- image processing
- low rank
- pattern recognition
- computer vision
- image data
- information content
- singular value decomposition
- reflectance spectra
- image segmentation
- covariance matrix
- model selection