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A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level

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A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level

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dc.contributor.author Sánchez-García, Elena es_ES
dc.contributor.author Balaguer-Beser, Ángel es_ES
dc.contributor.author Almonacid-Caballer, Jaime es_ES
dc.contributor.author Pardo Pascual, Josep Eliseu es_ES
dc.date.accessioned 2021-07-07T03:31:06Z
dc.date.available 2021-07-07T03:31:06Z
dc.date.issued 2019-08-12 es_ES
dc.identifier.issn 2072-4292 es_ES
dc.identifier.uri http://hdl.handle.net/10251/168877
dc.description.abstract [EN] This paper presents a new methodological process for detecting the instantaneous land-water border at sub-pixel level from mid-resolution satellite images (30 m/pixel) that are freely available worldwide. The new method is based on using an iterative procedure to compute Laplacian roots of a polynomial surface that represents the radiometric response of a set of pixels. The method uses a first approximation of the shoreline at pixel level (initial pixels) and selects a set of neighbouring pixels to be part of the analysis window. This adaptive window collects those stencils in which the maximum radiometric variations are found by using the information given by divided differences. Therefore, the land-water surface is computed by a piecewise interpolating polynomial that models the strong radiometric changes between both interfaces. The assessment is tested on two coastal areas to analyse how their inherent differences may affect the method. A total of 17 Landsat 7 and 8 images (L7 and L8) were used to extract the shorelines and compare them against other highly accurate lines that act as references. Accurate quantitative coastal data from the satellite images is obtained with a mean horizontal error of 4.38 +/- 5.66 m and 1.79 +/- 2.78 m, respectively, for L7 and L8. Prior methodologies to reach the sub-pixel shoreline are analysed and the results verify the solvency of the one proposed. es_ES
dc.description.sponsorship This study is part of the PhD dissertation of E. Sanchez-Garcia, which was supported by a grant from the Spanish Ministry of Education, Culture and Sports (I + D + i 2013-2016). The authors also appreciate the financial support provided by the Spanish Ministry of Economy and Competitiveness (CGL2015-69906-R) es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Remote Sensing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Shoreline sub-pixel detection es_ES
dc.subject Satellite images es_ES
dc.subject Adaptive interpolation es_ES
dc.subject Coastal management es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/rs11161880 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CGL2015-69906-R/ES/MONITORIZACION DE LOS CAMBIOS COSTEROS MEDIANTE TELEDETECCION PARA MITIGAR LOS IMPACTOS DEL CAMBIO CLIMATICO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Sánchez-García, E.; Balaguer-Beser, Á.; Almonacid-Caballer, J.; Pardo Pascual, JE. (2019). A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level. Remote Sensing. 11(16):1-28. https://doi.org/10.3390/rs11161880 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/rs11161880 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 28 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 16 es_ES
dc.relation.pasarela S\392294 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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