Dictionary Learning for Noisy and Incomplete Hyperspectral Images
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
About this item
Full title
Author / Creator
Publisher
Philadelphia: Society for Industrial and Applied Mathematics
Journal title
Language
English
Formats
Publication information
Publisher
Philadelphia: Society for Industrial and Applied Mathematics
Subjects
More information
Scope and Contents
Contents
We consider analysis of noisy and incomplete hyperspectral imagery, with the objective of removing the noise and inferring the missing data. The noise statistics may be wavelength dependent, and the fraction of data missing (at random) may be substantial, including potentially entire bands, offering the potential to significantly reduce the quantit...
Alternative Titles
Full title
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_962421629
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_962421629
Other Identifiers
ISSN
1936-4954
E-ISSN
1936-4954
DOI
10.1137/110837486
