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dc.creatorSola Torralba, Iones_ES
dc.creatorÁlvarez-Mozos, Jesúses_ES
dc.creatorGonzález de Audícana Amenábar, Maríaes_ES
dc.creatorTorres Escribano, José Luises_ES
dc.date.accessioned2019-02-06T16:49:15Z
dc.date.available2019-02-06T16:49:15Z
dc.date.issued2012
dc.identifier.citationI. Sola, I. Sola, M. González de Audícana, M. González de Audícana, J. Álvarez-Mozos, J. Álvarez-Mozos, J. L. Torres, J. L. Torres, "Multitemporal evaluation of topographic correction algorithms using synthetic images", Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 853706 (8 November 2012); doi: 10.1117/12.974535; https://doi.org/10.1117/12.974535en
dc.identifier.issn0277-786X (Print)
dc.identifier.urihttps://hdl.handle.net/2454/32130
dc.description.abstractLand cover classification and quantitative analysis of multispectral data in mountainous regions is considerably hampered by the influence of topography on the spectral response pattern. In the last years, different topographic correction (TOC) algorithms have been proposed to correct illumination differences between sunny and shaded areas observed by optical remote sensors. Although the available number of TOC methods is high, the evaluation of their performance usually relies on the existence of precise land cover information, and a standardised and objective evaluation procedure has not been proposed yet. Besides, previous TOC assessment studies only considered a limited set of illumination conditions, normally assuming favourable illumination conditions. This paper presents a multitemporal evaluation of TOC methods based on synthetically generated images in order to evaluate the influence of solar angles on the performance of TOC methods. These synthetic images represent the radiance an optical sensor would receive under specific geometric and temporal acquisition conditions and assuming a certain land-cover type. A method for creating synthetic images using state-of-the-art irradiance models has been tested for different periods of the year, which entails a variety of solar angles. Considering the real topography of a specific area a Synthetic Real image (SR) is obtained, and considering the relief of this area as being completely flat a Synthetic Horizontal image (SH) is obtained. The comparison between corrected image obtained applying a TOC method to SR image and SH image of the same area, i.e. considered the ideal correction, allows assessing the performance of each TOC algorithm.en
dc.format.extent11 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSPIEen
dc.relation.ispartofSPIE Proceedings Volume 8537, Image and Signal Processing for Remote Sensing XVIII; 853706 (2012)en
dc.rights© (2012) Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited.en
dc.subjectSynthetic imageen
dc.subjectTopographic normalizationen
dc.subjectMultitemporal evaluationen
dc.subjectSSIMen
dc.subjectTOCen
dc.subjectDEMen
dc.titleMultitemporal evaluation of topographic correction algorithms using synthetic imagesen
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.typeinfo:eu-repo/semantics/conferenceObjecten
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.doi10.1117/12.974535
dc.relation.publisherversionhttps://doi.org/10.1117/12.974535
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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