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Efficient transmission and classification of hyperspectral image data

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Jia, Xiuping; Richards, John

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An extension of a newly developed cluster-space representation is applied to efficient data transmission and classification. Cluster-space classification, which is an automatic hybrid supervised and unsupervised classification procedure, can be performed

dc.contributor.authorJia, Xiuping
dc.contributor.authorRichards, John
dc.date.accessioned2015-12-13T23:08:13Z
dc.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/1885/86574
dc.description.abstractAn extension of a newly developed cluster-space representation is applied to efficient data transmission and classification. Cluster-space classification, which is an automatic hybrid supervised and unsupervised classification procedure, can be performed
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Geoscience and Remote Sensing
dc.subjectKeywords: Algorithms; Data communication systems; Data handling; Image analysis; Remote sensing; Cluster space classification; Hyperspectral image data classification; Hyperspectral image data transmission; Remote sensing hyperspectral data handling; Image communic Clustering classification; Hyperspectral; Transmission
dc.titleEfficient transmission and classification of hyperspectral image data
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume41
dc.date.issued2003
local.identifier.absfor080106 - Image Processing
local.identifier.absfor090905 - Photogrammetry and Remote Sensing
local.identifier.ariespublicationMigratedxPub15487
local.type.statusPublished Version
local.contributor.affiliationJia, Xiuping, University of New South Wales
local.contributor.affiliationRichards, John, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue5
local.bibliographicCitation.startpage1129
local.bibliographicCitation.lastpage1131
local.identifier.doi10.1109/TGRS.2003.810710
dc.date.updated2015-12-12T08:12:38Z
local.identifier.scopusID2-s2.0-0038105256
CollectionsANU Research Publications

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