Mostrar el registro sencillo del ítem

dc.contributor.author Cipolletti, Marina Paola
dc.contributor.author Delrieux, Claudio Augusto
dc.contributor.author Perillo, Gerardo Miguel E.
dc.contributor.author Piccolo, Maria Cintia
dc.date.available 2017-01-24T15:27:15Z
dc.date.issued 2014-01
dc.identifier.citation Cipolletti, Marina Paola; Delrieux, Claudio Augusto; Perillo, Gerardo Miguel E.; Piccolo, Maria Cintia; Border extrapolation using fractal attributes in remote sensing images; Elsevier; Computers & Geosciences; 62; 1-2014; 25-34
dc.identifier.issn 0098-3004
dc.identifier.uri http://hdl.handle.net/11336/11789
dc.description.abstract In management, monitoring and rational use of natural resources the knowledge of precise and updated information is essential. Satellite images have become an attractive option for quantitative data extraction and morphologic studies, assuring a wide coverage without exerting negative environmental influence over the study area. However, the precision of such practice is limited by the spatial resolution of the sensors and the additional processing algorithms. The use of high resolution imagery (i.e., Ikonos) is very expensive for studies involving large geographic areas or requiring long term monitoring, while the use of less expensive or freely available imagery poses a limit in the geographic accuracy and physical precision that may be obtained. We developed a methodology for accurate border estimation that can be used for establishing high quality measurements with low resolution imagery. The method is based on the original theory by Richardson, taking advantage of the fractal nature of geographic features. The area of interest is downsampled at different scales and, at each scale, the border is segmented and measured. Finally, a regression of the dependence of the measured length with respect to scale is computed, which then allows for a precise extrapolation of the expected length at scales much finer than the originally available. The method is tested with both synthetic and satellite imagery, producing accurate results in both cases.
dc.format application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject Perimeter
dc.subject Extrapolation
dc.subject Richardson
dc.subject Fractal dimension
dc.subject.classification Oceanografía, Hidrología, Recursos Hídricos
dc.subject.classification Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification CIENCIAS NATURALES Y EXACTAS
dc.title Border extrapolation using fractal attributes in remote sensing images
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2017-01-19T19:55:42Z
dc.journal.volume 62
dc.journal.pagination 25-34
dc.journal.pais Países Bajos
dc.journal.ciudad Ámsterdam
dc.description.fil Fil: Cipolletti, Marina Paola. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación En Ingeniería Eléctrica; Argentina. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
dc.description.fil Fil: Delrieux, Claudio Augusto. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina
dc.description.fil Fil: Perillo, Gerardo Miguel E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina. Universidad Nacional del Sur. Departamento de Geografía; Argentina
dc.description.fil Fil: Piccolo, Maria Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina. Universidad Nacional del Sur; Argentina
dc.journal.title Computers & Geosciences
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S009830041300246X
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.cageo.2013.09.006


Archivos asociados

Icon
Blocked Acceso no disponible

Aparece en la(s) siguiente(s) colección(ones)

  • Articulos(IIIE) [115]
    Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"

Mostrar el registro sencillo del ítem

info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)