Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70582
DC FieldValueLanguage
dc.contributor.authorGarcia-Pedrero, Angelen_US
dc.contributor.authorGonzalo Martin,Consueloen_US
dc.contributor.authorLillo-Saavedra, Marioen_US
dc.contributor.authorRodriguez-Esparragon, Dionisioen_US
dc.date.accessioned2020-02-29T06:04:03Z-
dc.date.accessioned2020-06-23T12:02:02Z-
dc.date.available2020-02-29T06:04:03Z-
dc.date.available2020-06-23T12:02:02Z-
dc.date.issued2017en_US
dc.identifier.isbn9781538608500en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/70582-
dc.description.abstractThe delineation of agricultural lands is an important task for obtaining primary information in order to establish agricultural policies. Most of the automatic and semiautomatic methods for delineating agricultural plots in remote sensing area are based on image segmentation. However, they usually are sensitive to intra-plot variability and depend on a correct parameter selection, resulting in a bad performance due to the variability of the agricultural landscapes. In this paper, a novel methodology for delineating agricultural plots is proposed. The methodology is based on the consensus of diverse superpixel segmentations at different scales. The join of different segmentations is intended to reduce the aforementioned problems. Proposed methodology has been applied to two regions of a Worldview-2 image of a fragmented agricultural landscape. A visual and numerical evaluation of the results indicates that the use of the consensus of segmentations is promising for delineating agricultural plots.en_US
dc.languageengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.source2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings, v. 2017-Januaryen_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject31 Ciencias agrariasen_US
dc.subject.otherImage segmentationen_US
dc.subject.otherImage edge detectionen_US
dc.subject.otherImage color analysisen_US
dc.subject.otherAgricultureen_US
dc.subject.otherRemote sensingen_US
dc.subject.otherImage resolutionen_US
dc.titleA superpixel-based approach based on consensus for delineating agricultural plotsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017en_US
dc.identifier.doi10.1109/IWOBI.2017.7985537en_US
dc.identifier.scopus85079633204-
dc.contributor.authorscopusid36056581100-
dc.contributor.authorscopusid36561411500-
dc.contributor.authorscopusid8349763700-
dc.contributor.authorscopusid56422496000-
dc.relation.volume2017-Januaryen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.identifier.conferenceidevents121608-
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptIOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4542-2501-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameGonzalo Martin,Consuelo-
crisitem.author.fullNameRodríguez Esparragón, Dionisio-
crisitem.event.eventsstartdate10-07-2017-
crisitem.event.eventsenddate12-07-2017-
Appears in Collections:Actas de congresos
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