<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/E4EB0529-16DB-4934-8EE8-E28F83CA44FC"><efrbr-work:titleOfTheWork>Exemplifying the theory of evidence in remote sensing image classification</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/E4EB0529-16DB-4934-8EE8-E28F83CA44FC"><efrbr-expression:titleOfTheExpression>Exemplifying the theory of evidence in remote sensing image classification</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-10-23</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2001</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>This article introduces the mathematical theory of evidence in classifying remote sensing images. Its main intent is to introduce the less familiar concepts of belief functions in image classification. The belief function can be considered as a generalisation of the classical Bayes probability function that includes, however, a way to assess the strength of evidence. To illustrate the theory of evidence, seven examples are given.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">International Journal of Remote Sensing</efrbr-expression:note><efrbr-expression:note type="journal volume">6</efrbr-expression:note><efrbr-expression:note type="journal number">22</efrbr-expression:note><efrbr-expression:note type="page range">1081-1095</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~mzervakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Zervakis Michalis
            Ζερβακης Μιχαλης
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            P.Mertikas
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            Taylor &amp; Francis
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            Sensing images
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