Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1967
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dc.contributor.authorallDell’Acqua, F.; Dipartimento di Elettronica, Facoltà di Ingegneria, Università degli Studi di Pavia, Italyen
dc.contributor.authorallGamba, P.; Dipartimento di Elettronica, Facoltà di Ingegneria, Università degli Studi di Pavia, Italyen
dc.contributor.authorallCasella, V.; Dipartimento di Ingegneria Edile e del Territorio (DIET), Facoltà di Ingegneria, Università degli Studi di Pavia, Italyen
dc.contributor.authorallZucca, F.; Dipartimento di Scienze della Terra, Facoltà di Scienze Matematiche Fisiche e Naturali, Università degli Studi di Pavia, Italyen
dc.contributor.authorallBenediktsson, J. A.; Department of Electrical and Computer Engineering, University of Iceland, Reyjkavik, Icelanden
dc.contributor.authorallWilkinson, G.; General Faculty of Technology, Lincoln University, Lincoln, U.K.en
dc.contributor.authorallGalli, A.; Facoltà di Agraria, Università Politecnica delle Marche, Ancona, Italyen
dc.contributor.authorallMalinverni, E. S.; Facoltà di Ingegneria, Università Politecnica delle Marche, Ancona, Italyen
dc.contributor.authorallJones, G.; Digital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.en
dc.contributor.authorallGreenhill, D.; Digital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.en
dc.contributor.authorallRipke, L.; Digital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.en
dc.date.accessioned2006-12-07T14:39:37Zen
dc.date.available2006-12-07T14:39:37Zen
dc.date.issued2006-02en
dc.identifier.urihttp://hdl.handle.net/2122/1967en
dc.description.abstractThis paper addresses the use of HySenS airborne hyperspectral data for environmental urban monitoring. It is known that hyperspectral data can help to characterize some of the relations between soil composition, vegetation characteristics, and natural/artificial materials in urbanized areas. During the project we collected DAIS and ROSIS data over the urban test area of Pavia, Northern Italy, though due to a late delivery of ROSIS data only DAIS data was used in this work. Here we show results referring to an accurate characterization and classification of land cover/use, using different supervised approaches, exploiting spectral as well as spatial information. We demonstrate the possibility to extract from the hyperspectral data information which is very useful for environmental characterization of urban areas.en
dc.format.extent569312 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoEnglishen
dc.relation.ispartofseries1/49 (2006)en
dc.subjecthyperspectral remote sensingen
dc.subjecturban land useen
dc.subjectvegetation distributionen
dc.subjectclassificationen
dc.titleHySenS data exploitation for urban land cover analysisen
dc.typearticleen
dc.type.QualityControlPeer-revieweden
dc.subject.INGV05. General::05.09. Miscellaneous::05.09.99. General or miscellaneousen
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dc.description.journalTypeJCR Journalen
dc.description.fulltextopenen
dc.contributor.authorDell’Acqua, F.en
dc.contributor.authorGamba, P.en
dc.contributor.authorCasella, V.en
dc.contributor.authorZucca, F.en
dc.contributor.authorBenediktsson, J. A.en
dc.contributor.authorWilkinson, G.en
dc.contributor.authorGalli, A.en
dc.contributor.authorMalinverni, E. S.en
dc.contributor.authorJones, G.en
dc.contributor.authorGreenhill, D.en
dc.contributor.authorRipke, L.en
dc.contributor.departmentDipartimento di Elettronica, Facoltà di Ingegneria, Università degli Studi di Pavia, Italyen
dc.contributor.departmentDipartimento di Elettronica, Facoltà di Ingegneria, Università degli Studi di Pavia, Italyen
dc.contributor.departmentDipartimento di Ingegneria Edile e del Territorio (DIET), Facoltà di Ingegneria, Università degli Studi di Pavia, Italyen
dc.contributor.departmentDipartimento di Scienze della Terra, Facoltà di Scienze Matematiche Fisiche e Naturali, Università degli Studi di Pavia, Italyen
dc.contributor.departmentDepartment of Electrical and Computer Engineering, University of Iceland, Reyjkavik, Icelanden
dc.contributor.departmentGeneral Faculty of Technology, Lincoln University, Lincoln, U.K.en
dc.contributor.departmentFacoltà di Agraria, Università Politecnica delle Marche, Ancona, Italyen
dc.contributor.departmentFacoltà di Ingegneria, Università Politecnica delle Marche, Ancona, Italyen
dc.contributor.departmentDigital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.en
dc.contributor.departmentDigital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.en
dc.contributor.departmentDigital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.en
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptDipartimento di Elettronica, Facoltà di Ingegneria, Università degli Studi di Pavia, Italy-
crisitem.author.deptDipartimento di Elettronica, Facoltà di Ingegneria, Università degli Studi di Pavia, Italy-
crisitem.author.deptDipartimento di Ingegneria Edile e del Territorio (DIET), Facoltà di Ingegneria, Università degli Studi di Pavia, Italy-
crisitem.author.deptUniversità di Pavia - Dip.Scienze della Terra (Pavia, ITALY)-
crisitem.author.deptDepartment of Electrical and Computer Engineering, University of Iceland, Reyjkavik, Iceland-
crisitem.author.deptGeneral Faculty of Technology, Lincoln University, Lincoln, U.K.-
crisitem.author.deptFacoltà di Ingegneria, Università Politecnica delle Marche, Ancona, Italy-
crisitem.author.deptDigital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.-
crisitem.author.deptDigital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.-
crisitem.author.deptDigital Imaging Research Centre, School of Computing and Information Systems, Kingston University, Surrey, U.K.-
crisitem.classification.parent05. General-
Appears in Collections:Annals of Geophysics
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