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Analysing the positional accuracy of GNSS multi-tracks obtained from VGI sources to generate improved 3D mean axes / Antonio Tomás Mozas-Calvache in International journal of geographical information science IJGIS, vol 33 n° 11 (November 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 33 n° 11 (November 2019) . - pp 2170 - 2187 Titre : Analysing the positional accuracy of GNSS multi-tracks obtained from VGI sources to generate improved 3D mean axes Type de document : Article/Communication Auteurs : Antonio Tomás Mozas-Calvache, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2019 Article en page(s) : pp 2170 - 2187 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] axe médian [Termes IGN] contenu généré par les utilisateurs [Termes IGN] données localisées 3D [Termes IGN] données localisées des bénévoles [Termes IGN] positionnement par GNSS [Termes IGN] précision du positionnement [Termes IGN] qualité des données [Termes IGN] réseau routier [Termes IGN] trace GPS [Termes IGN] vitesse de déplacement Résumé : (auteur) The sharing of Global Navigation Satellite System (GNSS) tracks on the Internet is increasing enormously. Every day a great number of users capture routes using different devices and share these data. Individually these tracks present a poor positional accuracy because these devices obtain positions with accuracy of about 5-10 metres. In addition, they are usually captured for navigation and not for surveying. However, we can take advantage of the great quantity of tracks of the same linear element in order to obtain a more accurate solution. This study analyses this possibility using a wide set of tracks obtained in known conditions. We emulated those tracks obtained by Volunteered Geographic Information (VGI) users and we compared the mean axis obtained using all tracks with others obtained from a more accurate source. Additionally, we analyse the displacement of other axes obtained by varying several parameters such as the number of tracks and their length or by dividing the route into sections in function of sinuosity, etc. The results have shown an improved 3D mean axis and the viability of the method proposed in this study in order to use axes obtained from several tracks in maps at certain scales. Numéro de notice : A2019-429 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1645335 Date de publication en ligne : 26/07/2019 En ligne : https://doi.org/10.1080/13658816.2019.1645335 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93563 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2019112	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2019111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A method for checking the quality of geographic metadata based on ISO 19157 / Manuel A. Ureña-Cámara in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 1 - 27 Titre : A method for checking the quality of geographic metadata based on ISO 19157 Type de document : Article/Communication Auteurs : Manuel A. Ureña-Cámara, Auteur ; Javier Nogueras-Iso, Auteur ; Javier Lacasta, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2019 Article en page(s) : pp 1 - 27 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] contrôle qualité automatique [Termes IGN] hétérogénéité sémantique [Termes IGN] interopérabilité [Termes IGN] Java (langage de programmation) [Termes IGN] métadonnées géographiques [Termes IGN] norme ISO [Termes IGN] qualité des metadonnées [Termes IGN] XML Résumé : (auteur) With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata. Numéro de notice : A2019-018 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1515437 Date de publication en ligne : 17/09/2018 En ligne : https://doi.org/10.1080/13658816.2018.1515437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91675 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2019011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Influence of sample size on automatic positional accuracy assessment methods for urban areas / Francisco Javier Ariza-López in ISPRS International journal of geo-information, vol 7 n° 6 (June 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 6 (June 2018) Titre : Influence of sample size on automatic positional accuracy assessment methods for urban areas Type de document : Article/Communication Auteurs : Francisco Javier Ariza-López, Auteur ; Juan J. Ruiz-Lendínez, Auteur ; Manuel A. Ureña-Cámara, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données urbaines [Termes IGN] distance de Kolmogorov-Smirnov [Termes IGN] échantillon [Termes IGN] polygone [Termes IGN] précision de localisation [Termes IGN] précision planimétrique [Termes IGN] qualité des données [Termes IGN] zone urbaine Résumé : (Auteur) In recent years, new approaches aimed to increase the automation level of positional accuracy assessment processes for spatial data have been developed. However, in such cases, an aspect as significant as sample size has not yet been addressed. In this paper, we study the influence of sample size when estimating the planimetric positional accuracy of urban databases by means of an automatic assessment using polygon-based methodology. Our study is based on a simulation process, which extracts pairs of homologous polygons from the assessed and reference data sources and applies two buffer-based methods. The parameter used for determining the different sizes (which range from 5 km up to 100 km) has been the length of the polygons’ perimeter, and for each sample size 1000 simulations were run. After completing the simulation process, the comparisons between the estimated distribution functions for each sample and population distribution function were carried out by means of the Kolmogorov–Smirnov test. Results show a significant reduction in the variability of estimations when sample size increased from 5 km to 100 km. Numéro de notice : A2018-346 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7060200 Date de publication en ligne : 28/05/2018 En ligne : https://doi.org/10.3390/ijgi7060200 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90570 [article]

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]

A point-based methodology for the automatic positional accuracy assessment of geospatial databases / Juan J. Ruiz-Lendínez in Survey review, vol 48 n° 349 (July 2016)  

Public [article]  inSurvey review > vol 48 n° 349 (July 2016) . - pp 269 - 277 Titre : A point-based methodology for the automatic positional accuracy assessment of geospatial databases Type de document : Article/Communication Auteurs : Juan J. Ruiz-Lendínez, Auteur ; Francisco Javier Ariza-López, Auteur ; Manuel A. Ureña-Cámara, Auteur Année de publication : 2016 Article en page(s) : pp 269 - 277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données localisées [Termes IGN] évaluation [Termes IGN] points homologues [Termes IGN] polygone [Termes IGN] précision du positionnement [Termes IGN] qualité des données Résumé : (auteur) This paper is based on our earlier paper (Ruiz-Lendínez et al., 2013) of this work and its new contribution is to develop a point-based methodology for the automatic assessment of positional and geometric components of spatial data. The starting point for our approach is the set of homologous polygons obtained according to the methodology developed in Ruiz-Lendínez et al. (2013). From these pairs of polygons, we first have identified and computed homologous points using a metric for comparing polygonal shapes defined by Arkin et al. (1991) and then we have applied a point-based standard developed for assessing the positional accuracy of spatial data. Specifically, we have employed the National Standard Spatial Data Accuracy (NSSDA) standard. The results obtained demonstrate the viability of this point-based evaluation and its potential compared to traditional methods. Numéro de notice : A2016-624 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1179/1752270615Y.0000000030 En ligne : https://doi.org/10.1179/1752270615Y.0000000030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81827 [article]

Estimating the count of completeness errors in geographic data sets by means of a generalized Waring regression model / Francisco Javier Ariza-López in International journal of geographical information science IJGIS, vol 29 n° 8 (August 2015)  

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Using international standards to control the positional quality of spatial data / Francisco Javier Ariza-López in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 8 (August 2015)  

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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)  

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Generalization-oriented road line classification by means of an artificial neural network / J.L. Garcia Balboa in Geoinformatica, vol 12 n° 3 (September - November 2008)  

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Approximating cartography to the customer's expectations: applying the “House of Quality” to map design / Francisco Javier Ariza-López in Cartographica, vol 43 n° 2 (June 2008)  

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