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Applying ASPRS accuracy standards to surveys from small unmanned aircraft systems (UAS) / Ken Whitehead in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
[article]
Titre : Applying ASPRS accuracy standards to surveys from small unmanned aircraft systems (UAS) Type de document : Article/Communication Auteurs : Ken Whitehead, Auteur ; Chris H. Hugenholtz, Auteur Année de publication : 2015 Article en page(s) : pp 787 - 793 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] drone
[Termes IGN] modèle numérique de surface
[Termes IGN] norme de données localisées
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] précision des donnéesRésumé : (auteur) We present a first assessment of UAS-derived orthoimagery and digital elevation data in the context of newly-released accuracy standards for digital geospatial data developed by the American Society for Photogrammetry and Remote Sensing. We outline results from two case studies using a commercially-available UAS, photogrammetry software, and an array of ground control and check points. Radial horizontal and vertical root-meansquare- errors (RMSE) were calculated as 0.05 m and 0.06 m, respectively, for one site, and 0.08 m and 0.03 m, respectively, for the other. Under the 1990 ASPRS standards, both surveys meet the requirements for Class 1 accuracy at the 1:500 map scale and at the 0.50 m contour interval. Under the newly-developed ASPRS standards, the reported errors fulfill the requirements for both horizontal and vertical mapping at the 10 cm RMSE level. Overall, these results provide initial direction for practitioners considering UAS surveying in the context of accuracy standards Numéro de notice : A2015-989 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.10.787 En ligne : https://doi.org/10.14358/PERS.81.10.787 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80270
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 10 (October 2015) . - pp 787 - 793[article]