A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization.
Miguel SimõesJosé M. Bioucas-DiasLuís B. AlmeidaJocelyn ChanussotPublished in: IEEE Trans. Geosci. Remote. Sens. (2015)
Keyphrases
- convex formulation
- super resolution
- hyperspectral images
- spectral signatures
- convex optimization
- high resolution
- hyperspectral
- remote sensing
- potts model
- gradient method
- image reconstruction
- image restoration
- loss function
- convex relaxation
- low dimensional
- motion estimation
- high quality
- multispectral
- frequency domain
- high dimensional
- feature space
- markov random field
- dimensionality reduction
- motion blur
- high dimensional data
- total variation
- target detection
- multispectral images
- light field
- pairwise
- feature extraction
- machine learning
- support vector
- image processing