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Efficient transmission and classification of hyperspectral image data

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dc.contributor.authorJia, Xiuping
dc.contributor.authorRichards, John
dc.date.accessioned2015-12-13T23:08:13Z
dc.date.issued2003
dc.date.updated2015-12-12T08:12:38Z
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.identifier.issn0196-2892
dc.identifier.urihttp://hdl.handle.net/1885/86574
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.bibliographicCitation.issue5
local.bibliographicCitation.lastpage1131
local.bibliographicCitation.startpage1129
local.contributor.affiliationJia, Xiuping, University of New South Wales
local.contributor.affiliationRichards, John, College of Engineering and Computer Science, ANU
local.contributor.authoruidRichards, John, u9700838
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080106 - Image Processing
local.identifier.absfor090905 - Photogrammetry and Remote Sensing
local.identifier.ariespublicationMigratedxPub15487
local.identifier.citationvolume41
local.identifier.doi10.1109/TGRS.2003.810710
local.identifier.scopusID2-s2.0-0038105256
local.type.statusPublished Version

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