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Auteur N.A. Akel |
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Reconstruction of complex shape building from LIDAR data using free forms surfaces / N.A. Akel in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)
[article]
Titre : Reconstruction of complex shape building from LIDAR data using free forms surfaces Type de document : Article/Communication Auteurs : N.A. Akel, Auteur ; S. Filin, Auteur ; Y. Doytsher, Auteur Année de publication : 2009 Article en page(s) : pp 271 - 280 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] objet géographique complexe
[Termes IGN] partitionnement
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] surface planeRésumé : (Auteur) Building reconstruction from lidar data offers promising prospects for rapid generation of large-scale 3D models autonomously. Such reconstruction requires knowledge on a variety of parameters that refer to both the point cloud and the modeled buildings. The complexity of the reconstruction task has led researchers to use external information to localize buildings and assume that they consist of only planar parts. These assumptions limit the reconstruction of complex buildings, particularly those having curved faces. We present in this paper a detection and reconstruction model that considers the point cloud as the only information source and supports the reconstruction of general shape surfaces. Nonetheless, since many of the buildings are composed of planar faces, we maintain the planar based partitioning whenever possible and model non-planar surfaces only where needed. This way, standard models are extended to support free-form roof shapes without imposing artificial models. In addition to the free-form surface extension, we demonstrate the effect of imposing geometric constraints on the reconstruction as a means to generate realistic building models. Copyright ASPRS Numéro de notice : A2009-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.3.271 En ligne : https://doi.org/10.14358/PERS.75.3.271 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29667
in Photogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 3 (March 2009) . - pp 271 - 280[article]Orthogonal polynomials supported by regional growing segmentation for the extraction of terrain from lidar data / N.A. Akel in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)
[article]
Titre : Orthogonal polynomials supported by regional growing segmentation for the extraction of terrain from lidar data Type de document : Article/Communication Auteurs : N.A. Akel, Auteur ; S. Filin, Auteur ; Y. Doytsher, Auteur Année de publication : 2007 Article en page(s) : pp 1253 - 1266 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] décomposition
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtrage du rayonnement
[Termes IGN] fonction régionalisée
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] segmentationRésumé : (Auteur) Light Detection and Ranging (lidar) systems supply a massive amount points in 3D space with no semantic information helping knowing the objects they represent. To identify points that were reflected from the terrain, numerous algorithms have been developed in recent years. Many of them apply local operators that tend to face difficulties with complex scenes while their performance also varies between landscapes. In this paper, we present a filtering method that integrates a global approach using orthogonal polynomials with a local one that is region-based. The algorithm makes use of only a few parameters, and no fine-tuning is required between landscapes. Applying the algorithm over areas with varying topography and objects such as bridges, tunnels, and complex building, shows an improved performance compared to results obtained by others. This improvement is reflected in a lower than usual rate of misclassification errors for data acquired over different landscapes. Copyright ASPRS Numéro de notice : A2007-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.11.1253 En ligne : https://doi.org/10.14358/PERS.73.11.1253 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28879
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 11 (November 2007) . - pp 1253 - 1266[article]Interpretation and generalization of 3D landscape from lidar data / S. Filin in Cartography and Geographic Information Science, vol 34 n° 3 (July 2007)
[article]
Titre : Interpretation and generalization of 3D landscape from lidar data Type de document : Article/Communication Auteurs : S. Filin, Auteur ; N.A. Akel, Auteur ; K. Kemeike, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 231 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction du réseau routier
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] interprétation automatique
[Termes IGN] lasergrammétrie
[Termes IGN] placement automatique des objets
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] visualisation 3D
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) This paper discusses the interpretation and generalization of three-dimensional landscapes derived from laser scanning data. Airborne laser scanning systems provide an unparalleled detailed description of surfaces on a large scale. This level of detail, however, raises questions regarding the effective visual communication of the data. In this paper, we consider visualization from a cartographic perspective, particularly in terms of the generalization of details and enhancement of important features. Our goal is to visualize topography efficiently, while emphasizing such features as the road network. To achieve this, the communication of 3D landscapes has been implemented as a modular pipeline of individual, configurable processes, focusing on the interpretation of the laser dataset and its generalization. The raw laser point-cloud then becomes an input to a sequence of processes that result in a generalized topography. The interpretation process concerns the extraction of the terrain and the road network from the raw data. The generalization of the interpreted entities then follows. The application of the proposed model shows improved manifestation of the road network within the terrain. Copyright CaGISociety Numéro de notice : A2007-395 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304007781697857 En ligne : https://doi.org/10.1559/152304007781697857 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28758
in Cartography and Geographic Information Science > vol 34 n° 3 (July 2007) . - pp 231 - 243[article]Exemplaires(1)
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