Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/70582
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Garcia-Pedrero, Angel | en_US |
dc.contributor.author | Gonzalo Martin,Consuelo | en_US |
dc.contributor.author | Lillo-Saavedra, Mario | en_US |
dc.contributor.author | Rodriguez-Esparragon, Dionisio | en_US |
dc.date.accessioned | 2020-02-29T06:04:03Z | - |
dc.date.accessioned | 2020-06-23T12:02:02Z | - |
dc.date.available | 2020-02-29T06:04:03Z | - |
dc.date.available | 2020-06-23T12:02:02Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.isbn | 9781538608500 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/70582 | - |
dc.description.abstract | The 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.language | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.source | 2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings, v. 2017-January | en_US |
dc.subject | 220990 Tratamiento digital. Imágenes | en_US |
dc.subject | 31 Ciencias agrarias | en_US |
dc.subject.other | Image segmentation | en_US |
dc.subject.other | Image edge detection | en_US |
dc.subject.other | Image color analysis | en_US |
dc.subject.other | Agriculture | en_US |
dc.subject.other | Remote sensing | en_US |
dc.subject.other | Image resolution | en_US |
dc.title | A superpixel-based approach based on consensus for delineating agricultural plots | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 | en_US |
dc.identifier.doi | 10.1109/IWOBI.2017.7985537 | en_US |
dc.identifier.scopus | 85079633204 | - |
dc.contributor.authorscopusid | 36056581100 | - |
dc.contributor.authorscopusid | 36561411500 | - |
dc.contributor.authorscopusid | 8349763700 | - |
dc.contributor.authorscopusid | 56422496000 | - |
dc.relation.volume | 2017-January | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.utils.revision | Sí | en_US |
dc.identifier.conferenceid | events121608 | - |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.event.eventsstartdate | 10-07-2017 | - |
crisitem.event.eventsenddate | 12-07-2017 | - |
crisitem.author.dept | GIR IOCAG: Procesado de Imágenes y Teledetección | - |
crisitem.author.dept | IU de Oceanografía y Cambio Global | - |
crisitem.author.dept | Departamento de Señales y Comunicaciones | - |
crisitem.author.orcid | 0000-0002-4542-2501 | - |
crisitem.author.parentorg | IU de Oceanografía y Cambio Global | - |
crisitem.author.fullName | Gonzalo Martin,Consuelo | - |
crisitem.author.fullName | Rodríguez Esparragón, Dionisio | - |
Colección: | Actas de congresos |
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actualizado el 01-nov-2024
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