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Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization.
Shiying He
Haiwei Zhou
Yao Wang
Wenfei Cao
Zhi Han
Published in:
IGARSS (2016)
Keyphrases
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low rank
high order
missing data
convex optimization
linear combination
matrix factorization
singular value decomposition
semi supervised
high dimensional data
total variation
super resolution
higher order
markov random field
machine learning
image compression
data sets
dimensionality reduction