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A study-based ranking of LiDAR data visualization schemes aided by georectified aerial images / Suddasheel Ghosh in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)  

Public [article]  inCartography and Geographic Information Science > vol 41 n° 2 (March 2014) . - pp 138 - 150 Titre : A study-based ranking of LiDAR data visualization schemes aided by georectified aerial images Type de document : Article/Communication Auteurs : Suddasheel Ghosh, Auteur ; Bharat Lohani, Auteur ; Neeraj Misra, Auteur Année de publication : 2014 Article en page(s) : pp 138 - 150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] extraction de traits caractéristiques [Termes IGN] orthoimage [Termes IGN] semis de points [Termes IGN] Triangulated Irregular Network [Termes IGN] visualisation de données Résumé : (Auteur) Light Detection and Ranging (LiDAR) collects dense 3D topographic information in the form of points. LiDAR data can be displayed either through direct rendering of the point cloud or by generalizing features extracted through classification or segmentation. We are working in the domain of visualizing LiDAR data sets and have developed certain pipelines for visualization. These pipelines have been presented elsewhere. We present a technique for the evaluation of visualization schemes for LiDAR data, by conducting a visualization experience survey for 13 pre-processing and visualization schemes where 60 participants rated these schemes on a 10 point scale on a questionnaire. The paper establishes a ranking for the different visualization schemes described herein. Finally, this paper establishes that our heuristic-based algorithm (presented elsewhere) performs almost equal to a classification-based visualization pipeline made using professional software. We believe that the presented technique can be used to assess other geospatial visualization schemes. Numéro de notice : A2014-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/15230406.2014.880071 En ligne : https://doi.org/10.1080/15230406.2014.880071 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33110 [article]

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