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Joint Within-Class Collaborative Representation for Hyperspectral Image Classification

Author:
Wei Li
,
Qian Du
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/JSTARS.2014.2306956
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1127921
Keyword(s): geophysical image processing,hyperspectral imaging,image classification,remote sensing,closed-form solution,composite kernels,hyperspectral image classification,joint sparse representation,joint within-class collaborative representation,representation-based classification,state-of-the-art techniques,support vector machines,test pixel,Approximation methods,Collaboration,Hyperspectral imaging,Joints,Training,Vectors,Collaborative representation,hyperspectral image,pattern clas
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    Joint Within-Class Collaborative Representation for Hyperspectral Image Classification

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contributor authorWei Li
contributor authorQian Du
date accessioned2020-03-12T23:54:56Z
date available2020-03-12T23:54:56Z
date issued2014
identifier issn1939-1404
identifier other6779644.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1127921
formatgeneral
languageEnglish
publisherIEEE
titleJoint Within-Class Collaborative Representation for Hyperspectral Image Classification
typeJournal Paper
contenttypeMetadata Only
identifier padid8307945
subject keywordsgeophysical image processing
subject keywordshyperspectral imaging
subject keywordsimage classification
subject keywordsremote sensing
subject keywordsclosed-form solution
subject keywordscomposite kernels
subject keywordshyperspectral image classification
subject keywordsjoint sparse representation
subject keywordsjoint within-class collaborative representation
subject keywordsrepresentation-based classification
subject keywordsstate-of-the-art techniques
subject keywordssupport vector machines
subject keywordstest pixel
subject keywordsApproximation methods
subject keywordsCollaboration
subject keywordsHyperspectral imaging
subject keywordsJoints
subject keywordsTraining
subject keywordsVectors
subject keywordsCollaborative representation
subject keywordshyperspectral image
subject keywordspattern clas
identifier doi10.1109/JSTARS.2014.2306956
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue6
filesize2364135
citations0
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