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AuthorLicciardi, Giorgiodc.contributor.author
AuthorPacifici, Fabiodc.contributor.author
AuthorTuia, Devisdc.contributor.author
AuthorPrasad, Saurabhdc.contributor.author
AuthorWest, Terrancedc.contributor.author
AuthorGiacco, Ferdinandodc.contributor.author
AuthorThiel, Christiandc.contributor.author
AuthorInglada, Jordidc.contributor.author
AuthorChristophe, Emmanueldc.contributor.author
AuthorChanussot, Jocelyndc.contributor.author
AuthorGamba, Paolodc.contributor.author
Date of accession2016-03-15T06:22:55Zdc.date.accessioned
Available in OPARU since2016-03-15T06:22:55Zdc.date.available
Year of creation2009dc.date.created
AbstractThe 2008 Data Fusion Contest organized by the IEEE Geoscience and Remote Sensing Data Fusion Technical Committee deals with the classification of high-resolution hyperspectral data from an urban area. Unlike in the previous issues of the contest, the goal was not only to identify the best algorithm but also to provide a collaborative effort: The decision fusion of the best individual algorithms was aiming at further improving the classification performances, and the best algorithms were ranked according to their relative contribution to the decision fusion. This paper presents the five awarded algorithms and the conclusions of the contest, stressing the importance of decision fusion, dimension reduction, and supervised classification methods, such as neural networks and support vector machines.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
ID of original publ.http://dx.doi.org/10.1109/TGRS.2009.2029340dc.relation.uri
LicenseStandard (ohne Print-On-Demand)dc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_opod_v1dc.rights.uri
KeywordDecision fusiondc.subject
KeywordHyperspectral imagerydc.subject
KeywordOne-vs-onedc.subject
KeywordROSISdc.subject
KeywordSVMdc.subject
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
MeSHNeoplasms; Classificationdc.subject.mesh
TitleDecision fusion for the classification of hyperspectral data: outcome of the 2008 GRS-S Data Fusion Contestdc.title
Resource typeWissenschaftlicher Artikeldc.type
DOIhttp://dx.doi.org/10.18725/OPARU-1735dc.identifier.doi
PPN1651371318dc.identifier.ppn
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-vts-74138dc.identifier.urn
GNDDatenfusiondc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften und Informatikuulm.affiliationGeneral
Citation of original publ.IGARSS '08 special issue of the IEEE transactions on geoscience and remote sensing (TGARS) 47 (2009), 11, S. 3857 - 3865uulm.citationOrigPub
Date of activation2010-11-07T23:29:31Zuulm.freischaltungVTS
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
VTS ID7413uulm.vtsID
CategoryPublikationenuulm.category
Bibliographyuulmuulm.bibliographie


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