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Digital Elevation Model from the best results of different filtering of a LiDAR point cloud / T. Podobnikar in Transactions in GIS, vol 16 n° 5 (October 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 5 (October 2012) . - pp 603 - 617 Titre : Digital Elevation Model from the best results of different filtering of a LiDAR point cloud Type de document : Article/Communication Auteurs : T. Podobnikar, Auteur ; Anja Vrecko, Auteur Année de publication : 2012 Article en page(s) : pp 603 - 617 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] filtrage de points [Termes IGN] modèle numérique de surface [Termes IGN] semis de points Résumé : (Auteur) The LiDAR point clouds captured with airborne laser scanning provide considerably more information about the terrain surface than most data sources in the past. This rich information is not simply accessed and convertible to a high quality digital elevation model (DEM) surface. The aim of the study is to generate a homogeneous and high quality DEM with the relevant resolution, as a 2.5D surface. The study is focused on extraction of terrain (bare earth) points from a point cloud, using a number of different filtering techniques accessible by selected freeware. The proposed methodology consists of: (1) assessing advantages/disadvantages of different filters across the study area, (2) regionalization of the area according to the most suitable filtering results, (3) data fusion considering differently filtered point clouds and regions, and (4) interpolation with a standard algorithm. The resulting DEM is interpolated from a point cloud fused from partial point clouds which were filtered with multiscale curvature classification (MCC), hierarchical robust interpolation (HRI), and the LAStools filtering. An important advantage of the proposed methodology is that the selected landscape and datasets properties have been more holistically studied, with applied expert knowledge and automated techniques. The resulting highly applicable DEM fulfils geometrical (numerical), geomorphological (shape), and semantic quality properties. Numéro de notice : A2012-513 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01332.x Date de publication en ligne : 10/10/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01332.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31959 [article]

Multidirectional visibility index for analytical shading enhancement / T. Podobnikar in Cartographic journal (the), vol 49 n° 3 (August 2012)  

Public [article]  inCartographic journal (the) > vol 49 n° 3 (August 2012) . - pp 195 - 207 Titre : Multidirectional visibility index for analytical shading enhancement Type de document : Article/Communication Auteurs : T. Podobnikar, Auteur Année de publication : 2012 Article en page(s) : pp 195 - 207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] azimut [Termes IGN] estompage [Termes IGN] méthode robuste [Termes IGN] modèle numérique de surface [Termes IGN] ombre [Termes IGN] pente [Termes IGN] relief [Termes IGN] visibilité [Termes IGN] visualisation 3D Résumé : (Auteur) A novel method called multidirectional visibility index (MVI) has been developed and verified. The MVI improves standard cartographic analytical shading with a number of enhancements to topographic detail and prominent structures, i.e. the portrayal of flat areas in lighter tones, the accentuation of morphologic edges, and the multiscale visualisation of morphologic terrain features. The procedure requires a digital elevation model (DEM) and involves the following steps: visibility mask computation; the respective multidirectional altering of the azimuth and elevation angle; the generation of continuous grid MVIs that indicate upper/lower views, quasi-slope, and relative relief; and an appropriate visualisation of the relevant MVI as a standalone technique or in combination with standard hill-shaded relief. The modelling parameters are robust and therefore highly adaptive to different landforms. Numéro de notice : A2012-535 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277412Y.0000000012 Date de publication en ligne : 22/11/2013 En ligne : https://doi.org/10.1179/1743277412Y.0000000012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31981 [article]

Exemplaires(1)

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Production of integrated digital terrain model from multiple datasets of different quality / T. Podobnikar in International journal of geographical information science IJGIS, vol 19 n° 1 (january 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 1 (january 2005) . - pp 69 - 89 Titre : Production of integrated digital terrain model from multiple datasets of different quality Type de document : Article/Communication Auteurs : T. Podobnikar, Auteur Année de publication : 2005 Article en page(s) : pp 69 - 89 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] base de données localisées [Termes IGN] contrôle qualité [Termes IGN] géomorphologie [Termes IGN] intégration de données [Termes IGN] interpolation [Termes IGN] modèle numérique de terrain [Termes IGN] pondération [Termes IGN] qualité des données [Termes IGN] source de données Résumé : (Auteur) The objective of this paper is to discuss methods of producing a digital terrain model (DTM) from different quality datasets. The current quantity of DTMs and other spatial databases offers potential for an enhanced production of DTMs with a better quality than is currently obtainable. Two methods of integrating different datasets are described in this paper. The first is based on the simultaneous interpolation of all useful spatial data sources, and is supported by a proper prediction function according to the weights. The second - weighted sum of data with geomorphologic enhancement -sequentially combines individual datasets according to their weights and is maintained by geomorphologic enhancement. The weights in both methods depend on the output of the used spatial datasets quality control. The methods are tested with regard to original methodological solutions of DTM production developed for the integration of datasets. Numéro de notice : A2005-022 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810412331280130 En ligne : https://doi.org/10.1080/13658810412331280130 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27161 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05011	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05012	RAB	Revue	Centre de documentation	En réserve L003	Disponible