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dc.creatorSola Torralba, Iones_ES
dc.creatorGonzález de Audícana Amenábar, Maríaes_ES
dc.creatorÁlvarez-Mozos, Jesúses_ES
dc.creatorTorres Escribano, José Luises_ES
dc.date.accessioned2019-02-06T16:53:53Z
dc.date.available2019-02-06T16:53:53Z
dc.date.issued2013
dc.identifier.citationI. Sola, M. González-Audícana, J. Álvarez-Mozos and J. L. Torres, "Synthetic Images for Evaluating Topographic Correction Algorithms," in IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 3, pp. 1799-1810, March 2014. doi: 10.1109/TGRS.2013.2255296en
dc.identifier.issn0196-2892
dc.identifier.urihttps://hdl.handle.net/2454/32131
dc.description.abstractIn the last years, many topographic correction (TOC) methods have been proposed to correct the illumination differences between the areas observed by optical remote sensors. Although the available number of TOC methods is high, the evaluation of their performance generally relies on the existence of precise land-cover information, and a standardized and objective evaluation procedure has not been proposed yet. In this paper, we propose an objective procedure to assess the accuracy of these TOC methods on the basis of simulated scenes, i.e., synthetically generated images. These images represent the radiance an optical sensor would receive under specific geometric and temporal acquisition conditions and assuming a certain land-cover type. A simplified method for creating synthetic images using the stateof- the-art irradiance models is proposed, both considering the real topography of a certain area [synthetic real (SR) image] or considering the relief of this area as being completely flat [synthetic horizontal image (SH)]. The comparison between the corrected image obtained by applying a TOC method to the SR and SH images of the same area, allows assessing the performance of each TOC algorithm. This comparison is quantitatively carried out using the structural similarity index. The proposed TOC evaluation procedure is applied to a specific case study in northern Spain to explain its implementation and demonstrate its potential. The procedure proposed in this paper could be also used to assess the behavior of TOC methods operating under different scenarios considering diverse topographic, geometrical, and temporal acquisition configurations.en
dc.description.sponsorshipThis work was supported in part by the Department of Industry of the Government of Navarre (Spain).en
dc.format.extent13 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 3, March 2014en
dc.rights© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worken
dc.subjectIrradianceen
dc.subjectSynthetic imageen
dc.subjectTopographic correction (TOC)en
dc.titleSynthetic images for evaluating topographic correction algorithmen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Proyectos e Ingeniería Rurales_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Landa Ingeniaritza eta Proiektuak Sailaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.1109/TGRS.2013.2255296
dc.relation.publisherversionhttps://doi.org/10.1109/TGRS.2013.2255296
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernuaes


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