An application of combined neural networks to remotely sensed images

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dc.contributor.authorSantos, R. V.
dc.contributor.authorVellasco, M. R.
dc.contributor.authorFeitosa, R. Q.
dc.contributor.authorSimões, M.
dc.contributor.authorTanscheit, R.
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-21T08:40:24Z
dc.date.available2015-09-21T08:40:24Z
dc.date.issued2001
dc.description.abstract-translatedStudies in the area of Pattern Recognition have indicated that in most cases a classifier performs differently from one pattern class to another. This observation gave birth to the idea of combining the individual results from different classifiers to derive a consensus decision. This work investigates the potential of combining neural networks to remotely sensed images. A classifier system is built by integrating the results of a plurarity of feed-forward neural networks, each of them designed to have the best performance for one class. Fuzzy Integrals are used as the combining strategy. Experiments carried out to evaluate the system, using a satellite image of an area undergoing a rapid degradation process, have shown that the combination may yield a better performance than that of a single neural network.en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2009, vol. 9, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://hdl.handle.net/11025/15788
dc.identifier.urihttp://wscg.zcu.cz/wscg2001/WSCG2001_Program.htm
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectkombinování klasifikátorůcs
dc.subjectdálkový průzkumcs
dc.subjectrozpoznávání vzorucs
dc.subject.translatedcombining classifiersen
dc.subject.translatedremote sensingen
dc.subject.translatedpattern recognitionen
dc.titleAn application of combined neural networks to remotely sensed imagesen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Volume 9, number 1-3 (2001)