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MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression

contributor authorIordache, Marian-Daniel
contributor authorBioucas-Dias, Jose M.
contributor authorPlaza, Antonio
contributor authorSomers, Ben
date accessioned2020-03-12T18:29:40Z
date available2020-03-12T18:29:40Z
date issued2014
identifier issn0196-2892
identifier other6626583.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/960383?show=full
formatgeneral
languageEnglish
publisherIEEE
titleMUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression
typeJournal Paper
contenttypeMetadata Only
identifier padid7993046
subject keywordsgeophysical image processing
subject keywordshyperspectral imaging
subject keywordsimage classification
subject keywordsregression analysis
subject keywordsMUSIC-CSR
subject keywordsarray signal processing algorithm
subject keywordscollaborative sparse regression
subject keywordsfractional abundances
subject keywordshyperspectral unmixing
subject keywordsmultiple signal classification
subject keywordsspectral libraries
subject keywordsspectral signatures
subject keywordsCorrelation
subject keywordsHyperspectral imaging
subject keywordsLibraries
subject keywordsMultiple signal classification
subject keywordsNoise
subject keywordsVectors
subject keywordsArray signal processing
subject keywordscollaborative sparse regression (CSR)
subject keywordsdictionary pruning
subject keywordshyperspectral imaging
subject keywordshyp
identifier doi10.1109/TGRS.2013.2281589
journal titleGeoscience and Remote Sensing, IEEE Transactions on
journal volume52
journal issue7
filesize2669210
citations1


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