Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing.
Marian-Daniel IordacheJosé M. Bioucas-DiasAntonio PlazaPublished in: IEEE Trans. Geosci. Remote. Sens. (2012)
Keyphrases
- hyperspectral
- total variation
- spectral signatures
- regularization methods
- color image restoration
- minimization problems
- regularization term
- hyperspectral images
- basis pursuit
- image restoration
- blind deconvolution
- total variation regularization
- denoising
- hyperspectral data
- image denoising
- remote sensing
- infrared
- multispectral
- augmented lagrangian
- convex optimization
- mumford shah
- structured sparsity
- regularization parameter
- spatial resolution
- target detection
- image data
- hyperspectral imagery
- random projections
- image processing
- group lasso
- information content
- regularization method
- satellite images
- noisy images
- sparse representation
- augmented lagrangian method
- multiscale
- partial differential equations
- natural images
- markov random field
- computer vision
- image analysis
- multispectral images