Classification of Remote Sensing Data With Morphological Attribute Profiles: A decade of advances

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dc.contributor.authorMaia, Deise Santana
dc.contributor.authorPham, Minh-Tan
dc.contributor.authorAptoula, Erchan
dc.contributor.authorGuiotte, Florent
dc.contributor.authorLefevre, Sebastien
dc.date.accessioned2025-10-29T11:15:38Z
dc.date.issued2021
dc.departmentGebze Teknik Üniversitesi
dc.description.abstractMorphological attribute profiles (APs) are among the most prominent methods for spatial-spectral pixel analysis of remote sensing images. Since their introduction a decade ago to tackle land cover classification, many studies have been contributed to the state of the art, focusing not only on their application to a wider range of tasks but also on their performance improvement and extension to more complex Earth observation data.
dc.description.sponsorshipAgence Nationale de la Recherche (ANR) [ANR-18-CE23-0022]
dc.description.sponsorshipTubitak project [118E258]
dc.description.sponsorshipAgence Nationale de la Recherche (ANR) [ANR-18-CE23-0022] Funding Source: Agence Nationale de la Recherche (ANR)
dc.description.sponsorshipThis work was supported by the Agence Nationale de la Recherche (ANR) Multiscale project under reference ANR-18-CE23-0022. Erchan Aptoula was supported by the - Tubitak project 118E258. The authors would like to thank Prof. Paolo Gamba and the ISPRS for making available the Pavia University and Potsdam data sets, respectively.
dc.identifier.doi10.1109/MGRS.2021.3051859
dc.identifier.endpage71
dc.identifier.issn2473-2397
dc.identifier.issn2168-6831
dc.identifier.issue3
dc.identifier.orcid0000-0002-2384-8202
dc.identifier.orcid0000-0003-0266-767X
dc.identifier.orcid0000-0002-8886-0093
dc.identifier.scopus2-s2.0-85102292128
dc.identifier.scopusqualityQ1
dc.identifier.startpage43
dc.identifier.urihttps://doi.org/10.1109/MGRS.2021.3051859
dc.identifier.urihttps://hdl.handle.net/20.500.14854/7189
dc.identifier.volume9
dc.identifier.wosWOS:000701246700012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIEEE Geoscience and Remote Sensing Magazine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20251020
dc.subjectVegetation
dc.subjectImage reconstruction
dc.subjectFiltering
dc.subjectFeature extraction
dc.subjectTools
dc.subjectShape
dc.subjectPrincipal component analysis
dc.titleClassification of Remote Sensing Data With Morphological Attribute Profiles: A decade of advances
dc.typeArticle

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