A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level
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 polynom...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-08-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/11/16/1880 |
| _version_ | 1818959288637325312 |
|---|---|
| author | Elena Sánchez-García Ángel Balaguer-Beser Jaime Almonacid-Caballer Josep Eliseu Pardo-Pascual |
| author_facet | Elena Sánchez-García Ángel Balaguer-Beser Jaime Almonacid-Caballer Josep Eliseu Pardo-Pascual |
| author_sort | Elena Sánchez-García |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T11:39:16Z |
| format | Article |
| id | doaj.art-55eecc865794438599a07617b3915439 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T11:39:16Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-55eecc865794438599a07617b39154392022-12-21T19:42:01ZengMDPI AGRemote Sensing2072-42922019-08-011116188010.3390/rs11161880rs11161880A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel LevelElena Sánchez-García0Ángel Balaguer-Beser1Jaime Almonacid-Caballer2Josep Eliseu Pardo-Pascual3Geo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València., Camí de Vera s/n, 46022 València, SpainGeo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València., Camí de Vera s/n, 46022 València, SpainGeo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València., Camí de Vera s/n, 46022 València, SpainGeo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València., Camí de Vera s/n, 46022 València, SpainThis 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.https://www.mdpi.com/2072-4292/11/16/1880shoreline sub-pixel detectionsatellite imagesadaptive interpolationcoastal management |
| spellingShingle | Elena Sánchez-García Ángel Balaguer-Beser Jaime Almonacid-Caballer Josep Eliseu Pardo-Pascual A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level Remote Sensing shoreline sub-pixel detection satellite images adaptive interpolation coastal management |
| title | A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level |
| title_full | A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level |
| title_fullStr | A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level |
| title_full_unstemmed | A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level |
| title_short | A New Adaptive Image Interpolation Method to Define the Shoreline at Sub-Pixel Level |
| title_sort | new adaptive image interpolation method to define the shoreline at sub pixel level |
| topic | shoreline sub-pixel detection satellite images adaptive interpolation coastal management |
| url | https://www.mdpi.com/2072-4292/11/16/1880 |
| work_keys_str_mv | AT elenasanchezgarcia anewadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT angelbalaguerbeser anewadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT jaimealmonacidcaballer anewadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT josepeliseupardopascual anewadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT elenasanchezgarcia newadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT angelbalaguerbeser newadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT jaimealmonacidcaballer newadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel AT josepeliseupardopascual newadaptiveimageinterpolationmethodtodefinetheshorelineatsubpixellevel |