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An iterative method for obtaining a mean 3D axis from a set of GNSS traces for use in positional controls / A. Mozas-Calvache in Survey review, vol 49 n° 355 (October 2017)  

Public [article]  inSurvey review > vol 49 n° 355 (October 2017) . - pp 277 - 284 Titre : An iterative method for obtaining a mean 3D axis from a set of GNSS traces for use in positional controls Type de document : Article/Communication Auteurs : A. Mozas-Calvache, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2017 Article en page(s) : pp 277 - 284 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] axe médian [Termes IGN] classification par nuées dynamiques [Termes IGN] exploration de données géographiques [Termes IGN] incertitude géométrique [Termes IGN] itération [Termes IGN] précision de localisation [Termes IGN] trace GPS [Termes IGN] traitement de données localisées Résumé : (Auteur) This paper describes a new method of data mining for determining a 3D mean axis from a set of surveyed Global Navigation Satellite Systems traces. The purpose is to obtain a mean axis and its uncertainty in order for them to be used in line-based positional controls. The method is based on an iterative process of condensation. The final mean axis is selected when a determined level of accuracy is achieved. So the method provides a relative positional accuracy value of the final solution. The example developed in this study demonstrates the viability of this method and allows analysis of the initial size of the set needed in order to achieve a final accuracy. Using real data, the proposed methodology has also been compared with the K-means methodology in order to analyse its advantages and conditions of use. The results have demonstrated an improvement in accuracy and geometrical definition of the axis obtained. Numéro de notice : A2017-551 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1080/00396265.2016.1171956 En ligne : https://doi.org/10.1080/00396265.2016.1171956 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86612 [article]

Detection of systematic displacements in spatial databases using linear elements / A. Mozas-Calvache in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)  

Public [article]  inCartography and Geographic Information Science > vol 41 n° 4 (September 2014) . - pp 309 - 322 Titre : Detection of systematic displacements in spatial databases using linear elements Type de document : Article/Communication Auteurs : A. Mozas-Calvache, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2014 Article en page(s) : pp 309 - 322 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] analyse de données [Termes IGN] base de données localisées [Termes IGN] détection d'erreur [Termes IGN] erreur systématique [Termes IGN] objet géographique linéaire [Termes IGN] précision de localisation Résumé : (auteur) In this paper, we use control methodologies based on lines to detect the type of positional errors which affect a spatial database (SDB) and more concretely the presence of systematic errors. The methodology involves determination of the displacement vectors between the lines and a graphical and statistical study of the components obtained. The graphical analysis enables the detection of spatial patterns of displacement; the presence or absence of systematic errors is then confirmed by statistical analysis. We have applied this method to detect systematic errors on a set of lines with introduced displacements, rotations and scale changes. The results show the viability of the method. All the bias effects introduced were detected, both qualitatively and quantitatively. The detection method has the potential to minimize the effects of such displacements in the SDBs. Numéro de notice : A2014-427 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.912153 En ligne : https://doi.org/10.1080/15230406.2014.912153 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73964 [article]

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032-2014041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Comparison of four line-based positional assessment methods by means of synthetic data / F. Arira-Lopez in Geoinformatica, vol 16 n° 2 (April 2012)  

Public [article]  inGeoinformatica > vol 16 n° 2 (April 2012) . - pp 221 - 243 Titre : Comparison of four line-based positional assessment methods by means of synthetic data Type de document : Article/Communication Auteurs : F. Arira-Lopez, Auteur ; A. Mozas-Calvache, Auteur Année de publication : 2012 Article en page(s) : pp 221 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] distance de Hausdorff [Termes IGN] estimation de position [Termes IGN] qualité des données [Termes IGN] valeur aberrante [Termes IGN] zone tampon Résumé : (Auteur) Positional accuracy of spatial data can be assessed by means of line-based methods. In this work we develop an analysis of the following four methods: Hausdorff Distance, Mean Distance, Single Buffer Overlay and Double Buffer Overlay, using a set of 12 synthetic cases. The synthetic cases incorporate specific shape features for bias, random errors and outliers which correspond to simplified versions of real world possibilities. The use of synthetic cases helps us to understand the basic behavioral differences between the methods. Numerical results for the positional accuracy estimations are different between methods and cases due to the different concepts of distance involved and the specific configurations of each case. When the method results in a function, patterns related to different types of errors can be detected in this function. The length-inclusion level of each method is revealed as the base criterion for comparison. The Single Buffer Overlay Method offers the more general solution because it includes the others’ results. Numéro de notice : A2012-087 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-011-0130-y Date de publication en ligne : 01/07/2011 En ligne : https://doi.org/10.1007/s10707-011-0130-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31535 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-2012021	RAB	Revue	Centre de documentation	En réserve L003	Disponible