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Accuracy assessment of digital elevation models based on approximation theory / P. Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 1 (January 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 1 (January 2009) . - pp 49 - 56 Titre : Accuracy assessment of digital elevation models based on approximation theory Type de document : Article/Communication Auteurs : P. Hu, Auteur ; X. Liu, Auteur ; H. Hu, Auteur Année de publication : 2009 Article en page(s) : pp 49 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse comparative [Termes IGN] approximation [Termes IGN] données de terrain [Termes IGN] erreur de modèle [Termes IGN] estimation de précision [Termes IGN] interpolation bilinéaire [Termes IGN] interpolation linéaire [Termes IGN] interpolation polynomiale [Termes IGN] modèle numérique de surface [Termes IGN] précision altimétrique [Termes IGN] propagation d'erreur [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) Empirical research in DEM accuracy assessment has observed that DEM errors are correlated with terrain morphology, sampling density, and interpolation method. However, theoretical reasons for these correlations have not been accounted for. This paper introduces approximation theory adapted from computational science as a new framework to assess the accuracy of DEMs interpolated from topographic maps. By perceiving DEM generation as a piecewise polynomial simulation of the unknown terrain, the overall accuracy of a DEM is described by the maximum error at any DEM point. Three linear polynomial interpolation methods are examined, namely linear interpolation in 1D, TIN interpolation, and bilinear interpolation in a rectangle. Their propagation error and interpolation error, whose sum is the total error at a DEM point, are derived. Based on the results, the theoretical basis for the correlation between DEM error and terrain morphology and source data density is articulated for the first time. Copyright ASPRS Numéro de notice : A2009-008 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.1.49 En ligne : https://doi.org/10.14358/PERS.75.1.49 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29638 [article]

DEM generation using a digital large format frame camera / Joachim Höhle in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 1 (January 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 1 (January 2009) . - pp 87 - 93 Titre : DEM generation using a digital large format frame camera Type de document : Article/Communication Auteurs : Joachim Höhle, Auteur Année de publication : 2009 Article en page(s) : pp 87 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] chambre à grand format [Termes IGN] image aérienne [Termes IGN] modèle numérique de surface [Termes IGN] photographie à grande échelle [Termes IGN] précision altimétrique [Termes IGN] traitement d'image Résumé : (Auteur) Progress in automated photogrammetric DEM generation is presented. Starting from the procedures and the performance parameters of automated photogrammetric DEM generation, the results of some practical tests with large scale images are presented. The DEMs are derived from images taken by a digital large-frame aerial camera and checked by reference data of superior accuracy. In average, a vertical accuracy of ó h = 13 cm or 0.20 per thousand of the mean flying height above mean terrain has been achieved. Some recent innovations in digital large-frame cameras and in the processing software give hope for even better results. In comparison with results from film-based cameras, it can be stated that both technologies are able to produce very dense and accurate DEMs. Copyright ASPRS Numéro de notice : A2009-009 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.1.87 En ligne : https://doi.org/10.14358/PERS.75.1.87 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29639 [article]