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Auteur G.R. Willgoose |
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A comparative study of Australian cartometric and photogrammetric digital elevation model accuracy / J. Walker in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 7 (July 2006)
[article]
Titre : A comparative study of Australian cartometric and photogrammetric digital elevation model accuracy Type de document : Article/Communication Auteurs : J. Walker, Auteur ; G.R. Willgoose, Auteur Année de publication : 2006 Article en page(s) : pp 771 - 779 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] altimétrie
[Termes IGN] analyse comparative
[Termes IGN] Australie
[Termes IGN] cartométrie
[Termes IGN] données de terrain
[Termes IGN] erreur géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] pente
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] United States Geological SurveyRésumé : (Auteur) This paper explores the accuracy of Digital Elevation Models (DEMs), with particular reference to Australian published DEMs. Direct comparisons were made between cartometric and automatically measured photogrammetric DEMs at various grid spacings with an accurate and dense set of ground truth data. The cartometric dems were found to be more accurate than the photogrammetric DEMs for the small study site in this paper, with RMS errors in elevation of approximately 3.5 m and 4.5 m, respectively, and maximum absolute errors in elevation of approximately 12 m and 28 m, respectively. An important factor for environmental prediction studies is slope, and RMS errors in slope were approximately 6 percent and 20 percent for the cartometric and photogrammetric DEMs, respectively, with maximum absolute errors in slope of approximately 75 percent and 290 percent, respectively. However, use of suitable post-processing such as filtering may reduce the errors in photogrammetric DEMs to at least the same magnitude as cartometric DEMs. The cartometric DEMs were found to satisfy the USGS specifications for Level 2 data. Copyright ASPRS Numéro de notice : A2006-263 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.7.771 En ligne : https://doi.org/10.14358/PERS.72.7.771 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27990
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 7 (July 2006) . - pp 771 - 779[article]