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Positional accuracy analysis of satellite imagery by circular statistics / A. Cuartero in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 11 (November 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 11 (November 2010) . - pp 1275 - 1286 Titre : Positional accuracy analysis of satellite imagery by circular statistics Type de document : Article/Communication Auteurs : A. Cuartero, Auteur ; Ángel M. Felicísimo, Auteur ; M. Polo, Auteur ; A. Caro, Auteur ; P. Rodriguez, Auteur Année de publication : 2010 Article en page(s) : pp 1275 - 1286 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] correction géométrique [Termes IGN] erreur de positionnement [Termes IGN] Estrémadure (Espagne) [Termes IGN] GPS en mode différentiel [Termes IGN] image Terra-ASTER [Termes IGN] positionnement différentiel [Termes IGN] satellite artificiel Résumé : (Auteur) The proposed method in this paper uses circular statistics for the analysis of errors in the positional accuracy of geometric corrections satellite images using Independent Check Lines (ICL) instead of Independent Check Points (ICP). Circular statistics has been preferred because of the vectorial nature of the spatial error. A study case has been presented and discussed in detail. From the terra-aster images of Extremadura area (Spain), the Ground Control Point (GCP), ICP, and ICL data were acquired using differential GPS through field survey, and the planimetric positional accuracy was analyzed by both the conventional method (using ICP) and the proposed method (using ICL). Comparing conventional and proposed methods, the results indicated that modulus statistics are similar (e.g., RMSE of Geometric Correction 1 were 17.5 for the conventional method and 17.2 m for proposed method). But as additional results, azimuthal component statistics was calculated (e.g., mean direction: 247.2° in Geometric Correction 1), and several tests were made which showed the error distribution are not uniform and normal. Numéro de notice : A2010-473 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.11.1275 En ligne : https://doi.org/10.14358/PERS.76.11.1275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30666 [article]

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105-2010111	RAB	Revue	Centre de documentation	En réserve L003	Disponible