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Auteur Y. Liu |
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3D building model reconstruction from multi-view aerial imagery and Lidar data / Liang Cheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)
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Titre : 3D building model reconstruction from multi-view aerial imagery and Lidar data Type de document : Article/Communication Auteurs : Liang Cheng, Auteur ; J. Gong, Auteur ; M. Li, Auteur ; Y. Liu, Auteur Année de publication : 2011 Article en page(s) : pp 125 - 139 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contour
[Termes IGN] données lidar
[Termes IGN] données multisources
[Termes IGN] image aérienne
[Termes IGN] intégration de données
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconstruction 3D du bâtiRésumé : (Auteur) A novel approach by integrating multi-view aerial imagery and lidar data is proposed to reconstruct 3D building models with accurate geometric position and fine details. First, a new algorithm is introduced for determination of principal orientations of a building, thus benefiting to improve the correctness and robustness of boundary segment extraction in aerial imagery. A new dynamic selection strategy based on lidar point density analysis and K-means clustering is then proposed to identify boundary segments from non-boundary segments. Second, 3D boundary segments are determined by incorporating lidar data and the 2D segments extracted from multi-view imagery. Finally, a new strategy for 3D building model reconstruction including automatic recovery of lost boundaries and robust reconstruction of rooftop patches is introduced. The experimental results indicate that the proposed approach can provide high quality 3D models with high-correctness, high-completeness, and good geometric accuracy. Numéro de notice : A2011-045 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.2.125 En ligne : https://doi.org/10.14358/PERS.77.2.125 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30826
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 2 (February 2011) . - pp 125 - 139[article]Positioning localities based on spatial assertions / Y. Liu in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)
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Titre : Positioning localities based on spatial assertions Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; Q. Guo, Auteur ; J. Wieczorek, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2009 Article en page(s) : pp 1471 - 1501 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] géopositionnement
[Termes IGN] incertitude de position
[Termes IGN] modèle conceptuel de données
[Termes IGN] probabilités
[Termes IGN] raisonnement spatial
[Termes IGN] relation spatiale
[Termes IGN] segmentation sémantique
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In practice, descriptive localities are often communicated using named places and spatial relationships. Uncertainty associated with such descriptions of localities is inevitable, and knowledge of such uncertainty is normally not explicit. When translating descriptive localities into spatially explicit ones, it is critical to circumscribe locations and to estimate the associated uncertainty based on a set of appropriate spatial relationships. In conventional research on qualitative spatial reasoning (QSR), spatial relationships are modeled using formal logic. Unfortunately, QSR cannot deal with the uncertainty of a position. In this paper, based on the conceptual model of spatial assertions, we introduce the uncertainty field model to represent the probability distribution of a point locality. Using probability operations, we can combine a set of assertions to position a locality. Conflicts among assertions for a single locality can be detected based on the resulting field. Since spatial relationships play an important role in the uncertainty of target objects, we investigate conceptually the uncertainty fields associated with various types of spatial relationships (for example, topological, directional and metric). In a concrete application, these uncertainty fields can be customized and used without altering the proposed framework. Copyright Taylor & Francis Numéro de notice : A2009-517 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802247114 En ligne : https://doi.org/10.1080/13658810802247114 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30146
in International journal of geographical information science IJGIS > vol 23 n°11-12 (november 2009) . - pp 1471 - 1501[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-09071 RAB Revue Centre de documentation En réserve L003 Disponible 079-09072 RAB Revue Centre de documentation En réserve L003 Disponible TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience / Shaowen Wang in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)
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Titre : TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience Type de document : Article/Communication Auteurs : Shaowen Wang, Auteur ; Y. Liu, Auteur Année de publication : 2009 Article en page(s) : pp 631 - 656 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse spatiale
[Termes IGN] architecture orientée services
[Termes IGN] base de données répartie
[Termes IGN] cyberinfrastructure
[Termes IGN] découverte de connaissances
[Termes IGN] géomatique web
[Termes IGN] traitement parallèle
[Termes IGN] traitement réparti
[Termes IGN] web 2.0
[Termes IGN] WebSIGRésumé : (Auteur) Cyberinfrastructure (CI) represents the integrated information and communication technologies for distributed information processing and coordinated knowledge discovery, and is promising to revolutionize how science and engineering are conducted in the twenty-first century. The value of bridging CI and GIScience is significant to advance CI and benefit GIScience research and education, particularly in distributed geographic information processing (DGIP). This article presents a holistic framework that bridges CI and GIScience by integrating CI capabilities to empower GIScience research and education and establish generic DGIP services supported by CI. The framework, the TeraGrid GIScience Gateway, is based on a CI science gateway approach developed on the National Science Foundation (NSF) TeraGrid - a key element of US and world CI. This gateway develops a unifying service-oriented framework with respect to its architecture, design, and implementation as well as its integration with the TeraGrid. The functions of the gateway focus on enabling parallel and distributed processing for geographical analysis, managing the complexity of TeraGrid software environment, and establishing a Web-based GIS for the GIScience community to gain shared and collaborative access to TeraGrid-based geospatial processing services. The gateway implementation uses Web 2.0 technologies to create a highly configurable and interactive multiuser environment. Two case studies, Bayesian geostatistical modeling and a spatial statistic Gi(d) for detecting local clustering, are used to demonstrate the gateway functions and user environment. The service transformation for these analyses is applied to create a shared, decentralized, and collaborative geographical analysis environment in which GIScience community users can contribute new analysis services and reuse existing gateway services. Copyright Taylor & Francis Numéro de notice : A2009-301 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810902754977 En ligne : https://doi.org/10.1080/13658810902754977 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29931
in International journal of geographical information science IJGIS > vol 23 n° 5 (may 2009) . - pp 631 - 656[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-09031 RAB Revue Centre de documentation En réserve L003 Disponible 079-09032 RAB Revue Centre de documentation En réserve L003 Disponible Modelling the great wall of China / Z. Wang in GIM international, vol 23 n° 2 (February 2009)
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Titre : Modelling the great wall of China Type de document : Article/Communication Auteurs : Z. Wang, Auteur ; Y. Liu, Auteur ; L. Cao, Auteur Année de publication : 2009 Article en page(s) : pp 35 - 37 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Chine
[Termes IGN] données lidar
[Termes IGN] modèle numérique de terrain
[Termes IGN] monument historique
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) The Great Wall of China is one of the largest manmade wonders of the world, comprising many different and irregular structures. We employed airborne Lidar to produce highly accurate digital elevation models (DEMs) to identify areas requiring repair. A terrestrial laser scanner mounted on a tripod was used to improve the terrain model, especially for surfaces covered with dense vegetation. The combined use of airborne and terrestrial laser scanner produced DEMs with accuracies better than 10cm. Copyright Reed Business Information Numéro de notice : A2009-012 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29642
in GIM international > vol 23 n° 2 (February 2009) . - pp 35 - 37[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 061-09021 RAB Revue Centre de documentation En réserve L003 Disponible Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach / Q. Guo in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)
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Titre : Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach Type de document : Article/Communication Auteurs : Q. Guo, Auteur ; Y. Liu, Auteur ; J. Wieczorek, Auteur Année de publication : 2008 Article en page(s) : pp 1067 - 1090 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] distribution, loi de
[Termes IGN] géocodage
[Termes IGN] incertitude géométrique
[Termes IGN] modèle d'incertitude
[Termes IGN] objet géographique
[Termes IGN] relation spatiale
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Locality information for specimens of geological, biological, and cultural objects is traditionally stored as textual descriptions. With an increasing demand for natural and cultural information, the lack of spatially explicit descriptions has become a major barrier to the management and analysis of these data using geographic information systems. In this paper, we propose a method to georeference descriptive data, using an uncertainty field model to represent the distribution of a locality based on two types of uncertainties: uncertainty of reference objects, and the uncertainty of spatial relationships. We propose probability distributions for each known form of these two types of uncertainties and present a probabilistic method to georeference localities based on the integration of different uncertainty sources. Copyright Taylor & Francis Numéro de notice : A2008-354 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701851420 En ligne : https://doi.org/10.1080/13658810701851420 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29347
in International journal of geographical information science IJGIS > vol 22 n° 10 (october 2008) . - pp 1067 - 1090[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-08061 RAB Revue Centre de documentation En réserve L003 Disponible 079-08062 RAB Revue Centre de documentation En réserve L003 Disponible A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis / Y. Liu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)PermalinkTowards a General Field model and its order in GIS / Y. Liu in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)PermalinkTemporal influences on Landsat-5 thematic image in visible band / Y. Liu in International Journal of Remote Sensing IJRS, vol 27 n°15-16 (August 2006)PermalinkThe effect of E-M wave's attenuation on sea surface reflectivity, emissivity and estimation of sea surface temperature / Q. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 5 (August 2006)PermalinkNighttime polar cloud detection with MODIS / Y. Liu in Remote sensing of environment, vol 92 n° 2 (15/08/2004)PermalinkAnalysis of four change detection algorithms in bi-temporal space with a case study / Y. Liu in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)Permalink