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An elevation of void-filling interpolation methods for SRTM data / H.I. Reuter in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
[article]
Titre : An elevation of void-filling interpolation methods for SRTM data Type de document : Article/Communication Auteurs : H.I. Reuter, Auteur ; A. Nelson, Auteur ; A. Jarvis, Auteur Année de publication : 2007 Article en page(s) : pp 983 - 1008 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] fonction spline d'interpolation
[Termes IGN] image SRTM
[Termes IGN] interpolation
[Termes IGN] interpolation linéaire
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) The Digital Elevation Model that has been derived from the February 2000 Shuttle Radar Topography Mission (SRTM) has been one of the most important publicly available new spatial data sets in recent years. However, the 'finished' grade version of the data (also referred to as Version 2) still contains data voids (some 836,000 km2) - and other anomalies - that prevent immediate use in many applications. These voids can be filled using a range of interpolation algorithms in conjunction with other sources of elevation data, but there is little guidance on the most appropriate void-filling method. This paper describes: (i) a method to fill voids using a variety of interpolators, (ii) a method to determine the most appropriate void-filling algorithms using a classification of the voids based on their size and a typology of their surrounding terrain; and (iii) the classification of the most appropriate algorithm for each of the 3,339,913 voids in the SRTM data. Based on a sample of 1304 artificial but realistic voids across six terrain types and eight void size classes, we found that the choice of void-filling algorithm is dependent on both the size and terrain type of the void. Contrary to some previous findings, the best methods can be generalised as: kriging or inverse distance weighting interpolation for small and medium size voids in relatively flat low-lying areas; spline interpolation for small and medium-sized voids in high-altitude and dissected terrain; triangular irregular network or inverse distance weighting interpolation for large voids in very flat areas, and an advanced spline method (ANUDEM) for large voids in other terrains. Copyright Taylor & Francis Numéro de notice : A2007-553 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601169899 En ligne : https://doi.org/10.1080/13658810601169899 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28916
in International journal of geographical information science IJGIS > vol 21 n° 9-10 (october 2007) . - pp 983 - 1008[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07061 RAB Revue Centre de documentation En réserve L003 Disponible 079-07062 RAB Revue Centre de documentation En réserve L003 Disponible Spatial PSF nonuniformity effects in airborne pushbroom imaging spectrometry data / Daniel Schläpfer in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)
[article]
Titre : Spatial PSF nonuniformity effects in airborne pushbroom imaging spectrometry data Type de document : Article/Communication Auteurs : Daniel Schläpfer, Auteur ; J. Nieke, Auteur ; K.I. Itten, Auteur Année de publication : 2007 Article en page(s) : pp 458 - 468 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] aberration instrumentale
[Termes IGN] artefact
[Termes IGN] classification barycentrique
[Termes IGN] erreur de classification
[Termes IGN] image aérienne
[Termes IGN] interpolation linéaire
[Termes IGN] qualité des données
[Termes IGN] tâche image d'un pointRésumé : (Auteur) Efficient and accurate imaging spectroscopy data processing asks for perfectly consistent (i.e., ideally uniform) data in both the spectral and spatial dimensions. However, real pushbroom-type imaging spectrometers are affected by various point spread function (PSF) nonuniformity artifacts. First, individual pixels or lines may be missing in the raw data due to bad pixels originating from the detector, readout errors, or even electronic failures. Second, so-called smile and keystone optical aberrations are inherent to imaging spectrometers. Appropriate resampling strategies are required for the preprocessing of such data if emphasis is put on spatial PSF uniformity. So far, nearest neighbour interpolations have been often recommended and used for resampling. This paper shall analyze the radiometric effects if linear interpolation is used to optimize the spatial PSF uniformity. For modeling interpolation effects, an extensive library of measured surface reflectance spectra as well as real imaging spectroscopy data over various land cover types are used. The real measurements are systematically replaced by interpolated values, and the deviation between original and resampled spectra is taken as a quality measure. The effects of nearest neighbour resampling and linear interpolation methods are compared. It is found that linear interpolation methods lead to average radiometric errors below 2% for the correction of spatial PSF nonuniformity in the subpixel domain, whereas the replacement of missing pixels leads to average errors in the range of 10%-20%. Copyright IEEE Numéro de notice : A2007-080 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.886182 En ligne : https://doi.org/10.1109/TGRS.2006.886182 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28445
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 458 - 468[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-07021 RAB Revue Centre de documentation En réserve L003 Disponible 065-07022 RAB Revue Centre de documentation En réserve L003 Disponible On the prediction error variance of the common spatial interpolation schemes / P.C. Kyriakidis in International journal of geographical information science IJGIS, vol 20 n° 8 (september 2006)
[article]
Titre : On the prediction error variance of the common spatial interpolation schemes Type de document : Article/Communication Auteurs : P.C. Kyriakidis, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2006 Article en page(s) : pp 823 - 855 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] interpolation bilinéaire
[Termes IGN] interpolation linéaire
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] propagation d'erreurRésumé : (Auteur) Three forms of linear interpolation are routinely implemented in geographical information science, by interpolating between measurements made at the endpoints of a line, the vertices of a triangle, and the vertices of a rectangle (bilinear interpolation). Assuming the linear form of interpolation to be correct, we study the propagation of error when measurement error variances and covariances are known for the samples at the vertices of these geometric objects. We derive prediction error variances associated with interpolated values at generic points in the above objects, as well as expected (average) prediction error variances over random locations in these objects. We also place all the three variants of linear interpolation mentioned above within a geostatistical framework, and illustrate that they can be seen as particular cases of Universal Kriging (UK). We demonstrate that different definitions of measurement error in UK lead to different UK variants that, for particular expected profiles or surfaces (drift models), yield weights and predictions identical with the interpolation methods considered above, but produce fundamentally different (yet equally plausible from a pure data standpoint) prediction error variances. Copyright Taylor & Francis Numéro de notice : A2006-347 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600711279 En ligne : https://doi.org/10.1080/13658810600711279 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28071
in International journal of geographical information science IJGIS > vol 20 n° 8 (september 2006) . - pp 823 - 855[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06081 RAB Revue Centre de documentation En réserve L003 Disponible 079-06082 RAB Revue Centre de documentation En réserve L003 Disponible The accuracy of grid digital elevation models linearly constructed from scattered sample data / F. Aguilar in International journal of geographical information science IJGIS, vol 20 n° 2 (february 2006)
[article]
Titre : The accuracy of grid digital elevation models linearly constructed from scattered sample data Type de document : Article/Communication Auteurs : F. Aguilar, Auteur ; M. Aguilar, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 169 - 192 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] couple stéréoscopique
[Termes IGN] écart type
[Termes IGN] échantillonnage de données
[Termes IGN] erreur d'échantillon
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image aérienne
[Termes IGN] interpolation linéaire
[Termes IGN] maille carrée
[Termes IGN] modèle numérique de surface
[Termes IGN] modélisation 3D
[Termes IGN] pente
[Termes IGN] propagation d'erreur
[Termes IGN] rugosité du sol
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In this paper, a theoretical-empirical model is developed for modelling the accuracy of a grid digital elevation model (DEM) linearly constructed from scattered sample data. The theoretical component integrates sample data accuracy in the model by means of the error-propagation theory. The empirical component seeks to model what is known as information loss, i.e. the sum of the error due purely to sampling the continuous terrain surface with a finite grid interval and the interpolation error. For this purpose, randomly spaced data points, supposed to be free of error, were converted into regularly gridded data points using triangulation with linear interpolation. Original sample data were collected with a 2 x 2 m sampling interval from eight different morphologies, from flat terrain to highly rugged terrain, applying digital photogrammetric methods to large-scale aerial stereo imagery (1 :5000). The DEM root mean square error was calculated by the true validation method over several sets of check points, obtaining the different sampling densities tested in this work. Several empirical models are calibrated and validated with the experimental data set by modelling the DEM accuracy by combining two variables such as sampling density and a descriptive attribute of terrain morphology. These empirical models presented a morphology based on the product of two potential functions, one related to the terrain roughness and another related to the sampling density. The terrain descriptors tested were average terrain slope, standard deviation of terrain slope, standard deviation of unitary vectors perpendicular to the topographic surface (SDUV), standard deviation of the difference in height between adjacent samples in the grid DEM (SDHD), and roughness estimation by first-, second-, or third-degree surface fitting error. The values obtained for those terrain descriptors were reasonably independent from the number and spatial distribution of the sample data. The models based on descriptors SDHD, SDUV, and standard deviation of slope provided a good fitting to the data observed (R 2> 0.94) in the calibration phase, model SDHD being the one that yielded the best results in validation. Therefore, it would be possible to establish a priori the optimum grid size required to generate or store a DEM of a particular accuracy, with the saving in computing time and file size that this would mean for the digital flow of the mapping information in GIS. Numéro de notice : A2006-066 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810500399670 En ligne : https://doi.org/10.1080/13658810500399670 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27793
in International journal of geographical information science IJGIS > vol 20 n° 2 (february 2006) . - pp 169 - 192[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06021 RAB Revue Centre de documentation En réserve L003 Disponible 079-06022 RAB Revue Centre de documentation En réserve L003 Disponible A hybrid interpolation method for the refinement of a regular grid digital elevation model / W.Z. Shi in International journal of geographical information science IJGIS, vol 20 n° 1 (january 2006)
[article]
Titre : A hybrid interpolation method for the refinement of a regular grid digital elevation model Type de document : Article/Communication Auteurs : W.Z. Shi, Auteur ; Yuan Tian, Auteur Année de publication : 2006 Article en page(s) : pp 53 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] grille régulière
[Termes IGN] interpolation linéaire
[Termes IGN] interpolation non-linéaire
[Termes IGN] matrice
[Termes IGN] modèle numérique de surface
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A digital elevation model (DEM), which is used to represent a terrain surface. is normally constructed by applying an interpolation method on given sample elevation points. Interpolation methods can be classified into two classes: linear methods, which have a low time cost and are suitable for terrains where there is little change in elevation, and non-linear methods, which normally consume comparatively more time and are more suitable for terrains where there are frequent changes in elevation. A hybrid interpolation method, which involves both a linear method and a non-linear method of interpolation, is proposed in this paper. The proposed method aims to integrate the advantages of both linear and non-linear interpolation methods for the refinement of regular grid DEM. Here, the bilinear is identified as the linear method, and the bi-cubic is taken to be the non-linear interpolation method. The hybrid method is an integration of a linear model and non-linear interpolation model with a parameter that defines the weights for each of the models. The parameter is dependent on the complexity of the terrain, for which a DEM is to be interpolated. The experimental results in this study demonstrate that the hybrid method is effective for interpolating DEMs for various types of terrain. Numéro de notice : A2006-025 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810500286943 En ligne : https://doi.org/10.1080/13658810500286943 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27752
in International journal of geographical information science IJGIS > vol 20 n° 1 (january 2006) . - pp 53 - 67[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-06011 RAB Revue Centre de documentation En réserve L003 Disponible 079-06012 RAB Revue Centre de documentation En réserve L003 Disponible Delaunay triangulation structured kriging for surface interpolation / Yaron Felus in Surveying and land information science, vol 65 n° 1 (01/03/2005)PermalinkAn overview of multi-reference station methods for cm-level positioning / Georgia Fotopoulos in GPS solutions, vol 4 n° 3 (January 2001)PermalinkEstimation et interpolation spatiale / Michel Arnaud (2000)PermalinkDessin automatique et applications en topographie / Michel Bonnet in Géomètre, vol 1974 n° 8 - 9 (août - septembre 1974)Permalink