Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations.

Yue Hu Xiaodi Li Yanfeng Gu Mathews Jacob

Published in: IEEE Trans. Geosci. Remote. Sens. (2020)

Keyphrases

low rank
group lasso
hyperspectral images
convex optimization
low rank matrices
robust principal component analysis
hyperspectral
minimization problems
low rank matrix

linear combination
missing data
remote sensing
low rank and sparse
matrix factorization
matrix completion
multispectral
singular value decomposition
semi supervised

rank minimization
high order
target detection
high dimensional data
regularized regression
total variation
infrared
small number

image processing
image data
high dimensional
multiscale
feature selection
multispectral images
convex relaxation
sparse representation