Centre de documentation
scientifique

Building feature extraction from airborne lidar data based on tensor voting algorithm / R. You in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 12 (December 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 12 (December 2011) . - pp 1221 - 1231 Titre : Building feature extraction from airborne lidar data based on tensor voting algorithm Type de document : Article/Communication Auteurs : R. You, Auteur ; B. Lin, Auteur Année de publication : 2011 Article en page(s) : pp 1221 - 1231 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] calcul tensoriel [Termes IGN] détection du bâti [Termes IGN] données lidar [Termes IGN] extraction de traits caractéristiques [Termes IGN] valeur propre Résumé : (Auteur) This study presents a novel approach based on the tensor voting framework for extracting building features from airborne lidar data. Geometric features of lidar points are represented by a tensor field in this paper. For the extraction of roof patches, a region-growing method with principal features is developed from the properties of eigenvalues and eigenvectors of the tensor field. Additionally, three new indicators for the strength of features are presented to reduce the effect of the number of points on feature identification, and a supervised method is proposed to determine the threshold of planar feature strength for the region-growing. The extraction of ridge and edge lines from the segmented roof patches is also discussed. Experiments based on airborne lidar data are described to demonstrate the effectiveness of the proposed method, with those the results compared with the PCA method. Numéro de notice : A2011-487 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.12.1221 En ligne : https://doi.org/10.14358/PERS.77.12.1221 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31381 [article]

A quality prediction method for building model reconstruction using LiDAR data and topographic maps / R. You in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 49 n° 9 (September 2011) . - pp 3471 - 3480 Titre : A quality prediction method for building model reconstruction using LiDAR data and topographic maps Type de document : Article/Communication Auteurs : R. You, Auteur ; B. Lin, Auteur Année de publication : 2011 Article en page(s) : pp 3471 - 3480 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] calcul tensoriel [Termes IGN] carte topographique [Termes IGN] conflation [Termes IGN] données lidar [Termes IGN] fusion de données multisource [Termes IGN] indicateur de qualité [Termes IGN] reconstruction 3D du bâti [Termes IGN] toit Résumé : (Auteur) This paper integrates light detection and ranging (LiDAR) data and topographic maps and predicts the quality of 3D building model reconstruction. In this paper, the tensor voting algorithm and a region-growing method are adopted to extract building roof planes and structural lines from LiDAR data, and a robust least squares method is applied to register LiDAR data with building outlines obtained from topographic maps. The minimal square sum of the separations of the most peripheral points to building outlines is adopted as the criterion for determining the transformation parameters in order to improve the efficiency of data fusion. After registration, a novel quality indicator of data fusion based on the tensor analysis of residuals is derived in order to evaluate the quality of the automatic reconstruction of 3D building models. Finally, an actual LiDAR data set and its corresponding topographic map demonstrate the fusion procedure and the quality of the predictions related to automatic model reconstruction. Numéro de notice : A2011-364 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2128326 Date de publication en ligne : 12/05/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2128326 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31143 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2011091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Zur analytischen Bahnberechnung künstlicher Erdsatelliten mittels konformer Transformationen / R. You (1995)

Public Titre : Zur analytischen Bahnberechnung künstlicher Erdsatelliten mittels konformer Transformationen Titre original : [Sur le calcul analytique d'orbite de satellites artificiels terrestres au moyen de transformations conformes] Type de document : Thèse/HDR Auteurs : R. You, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 1995 Collection : DGK - C Sous-collection : Dissertationen num. 440 Importance : 213 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-9483-3 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Techniques orbitales [Termes IGN] équation linéaire [Termes IGN] ERS-1 [Termes IGN] Lageos [Termes IGN] mécanique orbitale [Termes IGN] mouvement Képlerien [Termes IGN] orbite [Termes IGN] orbitographie [Termes IGN] satellite GPS [Termes IGN] transformation canonique Résumé : (Auteur) In this dissertation, the motions of satellites affected by conservative and nonconservative forces in the Newtonian mechanics are interpreted as geodesic motions. The dynamical geometrical properties of the motions are analyzed. In particular, the motions of satellites in the Newtonian Earth's gravitational field are explained as the minimal geodesic flows on Maupertuis' manifolds according to the Maupertuis' variational principle of least action. The Euclidean space, in which satellites move, is a conformal map of a Maupertuis' manifold. The Maupertuis' manifolds are in detail discussed. Their embedding is solved according to the Brinkmann's embedding theorem and illustrated for the elliptic Kepler motions and orbits perturbed by the Earth's oblateness. To solve analytically the problems of satellite motions, the conformal Mapping of type KS transformation is introduced. In particular, a set of canonical KS elements for elliptic Kepler motions is derived. By virtue of this conformal transformation, the equations of the Kepler motion are regularized und transformed into linear differential equations. At the same time, the equations of the elliptic Kepler motion are also stabilized. These canonical KS elements are free from all singularities which occur in the classical Kepler elements. Especially, the solutions of the perturbation computation with the KS elements keep away from the strictly resonancelike amplification. An analytical solution of first order due to perturbations of an anisotropic terrestial gravitational field, the direct lunisolar influence, the tides of the earth, the relativistic gravitational effects, the atmospheric drag and the direct solar radiation pressure is given and compared with a numerical integration on the orbits of GPS, ERS1 and LAGEOS1. Numéro de notice : 28049 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Thèse étrangère Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63396

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
28049-01	21.10	Livre	Centre de documentation	Technologies spatiales	Disponible
28049-02	21.10	Livre	Centre de documentation	Technologies spatiales	Disponible