Validation of a simplified model to generate multispectral synthetic images
| dc.contributor.author | Sola Torralba, Ion | |
| dc.contributor.author | González de Audícana Amenábar, María | |
| dc.contributor.author | Álvarez-Mozos, Jesús | |
| dc.contributor.department | Proyectos e Ingeniería Rural | es_ES |
| dc.contributor.department | Landa Ingeniaritza eta Proiektuak | eu |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | es |
| dc.date.accessioned | 2017-11-15T08:00:43Z | |
| dc.date.available | 2017-11-15T08:00:43Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | A new procedure to assess the quality of topographic correction (TOC) algorithms applied to remote sensing imagery was previously proposed by the authors. This procedure was based on a model that simulated synthetic scenes, representing the radiance an optical sensor would receive from an area under some specific conditions. TOC algorithms were then applied to synthetic scenes and the resulting corrected scenes were compared with a horizontal synthetic scene free of topographic effect. This comparison enabled an objective and quantitative evaluation of TOC algorithms. This approach showed promising results but had some shortcomings that are addressed herein. First, the model, originally built to simulate only broadband panchromatic scenes, is extended to multispectral scenes in the visible, near infrared (NIR), and short wave infrared (SWIR) bands. Next, the model is validated by comparing synthetic scenes with four Satellite pour l'Observation de la Terre 5 (SPOT5) real scenes acquired on different dates and different test areas along the Pyrenees mountain range (Spain). The results obtained show a successful simulation of all the spectral bands. Therefore, the model is deemed accurate enough for its purpose of evaluating TOC algorithms. | en |
| dc.description.sponsorship | The authors gratefully acknowledge the financial support provided by the Public University of Navarre (UPNA). Part of the research presented in this paper is funded by the Spanish Ministry of Economy and Competitiveness in the frame of the ESP2013-48458-C4-2-P project. | en |
| dc.format.extent | 10 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.3390/rs70302942 | |
| dc.identifier.issn | 2072-4292 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/26143 | |
| dc.language.iso | eng | en |
| dc.publisher | MDPI | en |
| dc.relation.ispartof | Remote Sensing, 2015, 7(3), 2942-2951 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//ESP2013-48458-C4-2-P/ES/ | |
| dc.relation.publisherversion | https://dx.doi.org/10.3390/rs70302942 | |
| dc.rights | © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Topographic correction | en |
| dc.subject | Synthetic images | en |
| dc.subject | Model validation | en |
| dc.title | Validation of a simplified model to generate multispectral synthetic images | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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