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Semantically correct 2.5D GIS data: the integration of a DTM and topographic vector data / A. Koch in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 1 (October 2006)
[article]
Titre : Semantically correct 2.5D GIS data: the integration of a DTM and topographic vector data Type de document : Article/Communication Auteurs : A. Koch, Auteur ; Christian Heipke, Auteur Année de publication : 2006 Article en page(s) : pp 23 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données localisées 2D
[Termes IGN] intégration de données
[Termes IGN] modèle numérique de terrain
[Termes IGN] précision sémantique
[Termes IGN] qualité sémantique
[Termes IGN] Triangulated Irregular Network
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) The most commonly used topographic vector data, the reference data of national geographic information systems (GIS) are currently two-dimensional. The topography is modelled by different objects which are represented by single points, lines and areas with additional attributes containing information, for instance on the function and size of the object. In contrast, a digital terrain model (DTM) in most cases is a 2.5D representation of the earth's surface. The integration of the two data sets leads to an augmentation of the dimension of the topographic objects. However, due to inconsistencies between the data the integration process may lead to semantically incorrect results. This paper presents a new approach for the integration of a DTM and 2D GIS vector data including the re-establishment of the semantic correctness of the integrated data set. The algorithm consists of two steps. In the first step the DTM and the topographic objects are integrated without considering the semantics of the objects. This geometric integration is based on a DTM TIN (triangular irregular network) computed using a constrained Delaunay triangulation. In the second step those objects which contain implicit height information are further utilized: object representations are formulated and the semantics of the objects are considered within an optimization process using equality and inequality constraints. The algorithm is based on an inequality constrained least squares adjustment formulated as the linear complementary problem (LCP). The algorithm results in an integrated semantically correct 2.5D GIS data set. Results are presented using simulated and real data. Lakes represented by horizontal planes with increasing terrain outside the lake and roads which are composed of several tilted planes were investigated. The algorithm shows satisfying results: the constraints are fulfilled and the visualization of the integrated data set corresponds to the human view of the topography. Copyright ISPRS Numéro de notice : A2006-439 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2006.07.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2006.07.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28163
in ISPRS Journal of photogrammetry and remote sensing > vol 61 n° 1 (October 2006) . - pp 23 - 32[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-06071 SL Revue Centre de documentation Revues en salle Disponible Towards geodata-based communities / Ron Van Lammeren in GIM international, vol 20 n° 8 (August 2006)
[article]
Titre : Towards geodata-based communities Type de document : Article/Communication Auteurs : Ron Van Lammeren, Auteur ; A. Bergsma, Auteur Année de publication : 2006 Article en page(s) : pp 31 - 33 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] acquisition de données
[Termes IGN] diffusion de données
[Termes IGN] diffusion par internet
[Termes IGN] données localisées 2D
[Termes IGN] interactivité
[Termes IGN] Open geospatial consortium
[Termes IGN] précision des données
[Termes IGN] qualité des données
[Termes IGN] utilisateur
[Termes IGN] visualisation 3DRésumé : (Auteur) Rapidly evolving technologies such as Web services transform the former digital-map toolbox for specialists into a challenging digital peep-box for everyone. Introduced in 2005, Google Earth is one of the first examples of digital peep-boxes that will soon, suggest the authors, lead to Geodata based Communities (GeoCom). Copyright GITC Numéro de notice : A2006-298 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28025
in GIM international > vol 20 n° 8 (August 2006) . - pp 31 - 33[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-06081 RAB Revue Centre de documentation En réserve L003 Disponible Combining spectral and spatial information into hidden Markov models for unsupervised image classification / B. Tso in International Journal of Remote Sensing IJRS, vol 26 n° 10 (May 2005)
[article]
Titre : Combining spectral and spatial information into hidden Markov models for unsupervised image classification Type de document : Article/Communication Auteurs : B. Tso, Auteur ; C. Olsen, Auteur Année de publication : 2005 Article en page(s) : pp 2113 - 2133 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification barycentrique
[Termes IGN] classification contextuelle
[Termes IGN] classification non dirigée
[Termes IGN] données localisées 2D
[Termes IGN] image multi sources
[Termes IGN] modèle de Markov
[Termes IGN] optimisation (mathématiques)
[Termes IGN] précision de la classification
[Termes IGN] qualité des donnéesRésumé : (Auteur) Unsupervised classification methodology applied to remote sensing image processing can provide benefits in automatically converting the raw image data into useful information so long as higher classification accuracy is achieved. The traditional k-means clustering scheme using spectral data alone does not perform well in general as far as accuracy is concerned. This is partly due to the failure to take the spatial inter-pixels dependencies (i.e. the context) into account, resulting in a 'busy' visual appearance to the output imagery. To address this, the hidden Markov models (HMM) are introduced in this study as a fundamental framework to incorporate both the spectral and contextual information in analysis. This helps generate more patch-like output imagery and produces higher classification accuracy in an unsupervised scheme. The newly developed unsupervised classification approach is based on observation-sequence and observation-density adjustments, which have been proposed for incorporating 2D spatial information into the linear HMM. For the observation-sequence adjustment methods, there are a total of five neighbourhood systems being proposed. Two neighbourhood systems were incorporated into the observation-density methods for study. The classification accuracy is then evaluated by means of confusion matrices made by randomly chosen test samples. The classification obtained by k-means clustering and the HMM with commonly seen strip-like and Hilbert-Peano sequence fitting methods were also measured. Experimental results showed that the proposed approaches for combining both the spectral and spatial information into HMM unsupervised classification mechanism present improvements in both classification accuracy and visual qualities. Numéro de notice : A2005-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331337844 En ligne : https://doi.org/10.1080/01431160512331337844 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27395
in International Journal of Remote Sensing IJRS > vol 26 n° 10 (May 2005) . - pp 2113 - 2133[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-05101 RAB Revue Centre de documentation En réserve L003 Disponible A wavelet transform based for road centerline extraction / Tianen Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 12 (December 2004)
[article]
Titre : A wavelet transform based for road centerline extraction Type de document : Article/Communication Auteurs : Tianen Chen, Auteur ; Jing Wang, Auteur ; K. Zhang, Auteur Année de publication : 2004 Article en page(s) : pp 1423 - 1431 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] axe médian
[Termes IGN] données localisées 2D
[Termes IGN] extraction automatique
[Termes IGN] extraction du réseau routier
[Termes IGN] image à haute résolution
[Termes IGN] magnitude
[Termes IGN] transformation en ondelettesRésumé : (Auteur) This paper introduces a new wavelet transform based method of road centerline extraction from high resolution remote sensing images. In the one dimensional case, we characterize different kinds of sudden changes of signals by comparing f the magnitudes of the local extreme values of the wavelet transforms under different dilation scales of the same wavelet. The platform-like signals, which come from cross sections of roads, can be characterized through the evolution of the wavelet transform across scales. A two-dimensional wavelet transform of an image consists of two components, each component is a one dimensional wavelet transform in one coordinate direction followed by a smoothing process in the perpendicular direction. The road edges can be characterized through the evolution of the two-dimensional wavelet transform across different scales. Edges of the main roads can then be extracted using these characterizations, and the road centerlines can be obtained by proper post-processing. Numéro de notice : A2004-504 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.12.1423 En ligne : https://doi.org/10.14358/PERS.70.12.1423 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27021
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 12 (December 2004) . - pp 1423 - 1431[article]Geodesic matching of shapes via quantization / Laurent Garcin (2004)
Titre : Geodesic matching of shapes via quantization Type de document : Article/Communication Auteurs : Laurent Garcin, Auteur ; Laurent Younes, Auteur Editeur : Paris : Université de Paris 9 Paris-Dauphine Année de publication : 2004 Collection : Cahiers du CEREMADE num. 441 Conférence : MIA 2004, Mathematics and image analysis 06/09/2004 09/09/2004 Paris France OA Abstracts only Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] algorithme du recuit simulé
[Termes IGN] appariement de formes
[Termes IGN] discrétisation
[Termes IGN] données localisées 2D
[Termes IGN] données localisées 3D
[Termes IGN] méthode de réduction d'énergieRésumé : (auteur) In many domains such as medical imagery, it is important to be able to match shapes and to retrieve a deformation between two shapes. Here we will assume that the shapes are defined by points (polygons (2D) or triangulations (3D) vertices). The straight forward computation of the correspondences between points may be numerically untractable from a combinative point of view. That's why we decide to match quantizations of the shapes. We compute both the quantization and the deformation at the same time so that we are assured that the quantization in both shapes is adapted to the deformation and that there isn't any combinatory issue. The matching consists in the minimization of an energy composed of two terms : a quantization energy and a deformation energy, yielding an algorithm which is the iteration of two steps : a quantization step and a deformation step embedded into a deterministic annealing process. We will show some results both in 2D and 3D. Numéro de notice : C2004-046 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/MATHEMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103033 Proceedings of the GIS Research UK, 12th Annual Conference, University of East Anglia, Norwich, 28th - 30th April 2004 / A. Lovett (2004)PermalinkReconstruction of 3D building models from aerial images and maps / ldikó Süveg in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)PermalinkImpact of relief accuracy on flood simulations and road network vulnerability analysis / Jean-François Gleyze (2003)PermalinkIntégration cohérente de données 2D et 2,5D dans un modèle numérique de terrain / A. Lafragueta (2003)PermalinkGénéralisation et représentation multiple, ch. 21. Le modèle Agent / Cécile Duchêne (2002)PermalinkInventaire des types de données de référence / IGN conseil (2002)PermalinkSIG / Patricia Bordin (2002)PermalinkApplying the theory of evidence to vector-DEM comparison for the building planimetric change detection / Olivier Jamet (1999)PermalinkDonnées géographiques multidimensionnelles (2D, relief et 3D) dans un SIG 3D / B. De Cambray in Revue internationale de géomatique, vol 5 n° 1 (mars - mai 1995)PermalinkZur Qualität der Basisdaten von Landinformationssystemen / R. Scheuring (1995)PermalinkPermalinkProceedings, 6th International Symposium Geodesy and Physics of the Earth, Potsdam, GDR, August 22-27, 1988, Volume 2. Gravity field variations / Zentralinstitut für Physik der Erde (1989)PermalinkPermalinkMICAD 85, Actes de la 4ème Conférence Européenne sur la CFAO et l'Infographie, 1. Volume 1 / Micad (1985)Permalink