Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising.
Jize XueYongqiang ZhaoWenzhi LiaoSeong G. KongPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- image denoising
- hyperspectral
- low rank
- rank minimization
- spectral signatures
- trace norm
- total variation
- convex optimization
- minimization problems
- denoising
- hyperspectral imagery
- remote sensing
- hyperspectral images
- noisy images
- natural images
- multispectral
- hyperspectral data
- infrared
- matrix factorization
- linear combination
- regularization term
- image processing
- missing data
- low rank matrix
- image data
- matrix completion
- spatial resolution
- high order
- singular value decomposition
- kernel matrix
- high dimensional data
- wavelet domain
- wavelet coefficients
- frequency domain
- computer vision
- semi supervised
- higher order
- mumford shah
- norm minimization
- multi task
- mutual information
- data points
- multiresolution
- multiscale
- feature selection