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A random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points / Liang Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 9 (September 2013) . - pp 835 - 845 Titre : A random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points Type de document : Article/Communication Auteurs : Liang Zhou, Auteur ; Alfred Stein, Auteur Année de publication : 2013 Article en page(s) : pp 835 - 845 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] modèle d'incertitude [Termes descripteurs IGN] qualité des données [Termes descripteurs IGN] semis de points [Termes descripteurs IGN] trafic routier Résumé : (Auteur) Traffic islands play a major role in transport studies by affecting traffic behavior safety, air pollution, and transport decision support. Point data obtained by laser scanning enable the determination of their locations. Planimetric errors, vertical errors, and limited point spacing however affect their spatial data quality (SDQ). In this study, we defined uncertainty as the lack of accuracy and analyzed its importance by modeling each traffic island as a random set. The covering functions of the point data and their intermediate locations were determined by point segmentation, followed by interpolation. In this way, traffic islands were delineated from the background with a transition zone. The study showed that point spacing has the largest contribution to the positonal accuracy of a traffic island. The area of the transition zone has a linear relation with the planimetric errors, whereas the influence of the vertical errors on the accuracy decreases with increasing point spacing. Experiments were conducted to investigate the influences of the parameters in an SDQ analysis. The study demonstrated how different sources of uncertainty can be integrated. Results showed the advantages of using random sets for SDQ modelling. We concluded that modelling of traffic islands by random sets provides meaningful information to integrate uncertainties. Numéro de notice : A2013-506 Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.9.835 En ligne : https://doi.org/10.14358/PERS.79.9.835 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32644 [article]

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