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vol IV-2/W4 - September 2017 - ISPRS Geospatial Week 2017, 18–22 September, Wuhan, China (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / D. Li  

Public [n° ou bulletin]  est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (1980 -) (2012 - )   Titre : vol IV-2/W4 - September 2017 - ISPRS Geospatial Week 2017, 18–22 September, Wuhan, China Type de document : Périodique Auteurs : D. Li, Éditeur scientifique ; J. Gong, Éditeur scientifique ; B. Yang, Éditeur scientifique ; et al., Éditeur scientifique Année de publication : 2017 Langues : Anglais (eng) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/ Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=34819 [n° ou bulletin]

Contient

• Occupancy modelling for moving object detection from Lidar point clouds: A comparative study / Wen Xiao in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-2/W4 (September 2017)  

An efficient point cloud management method based on a 3D R-tree / J. Gong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 4 (April 2012) . - pp 373 - 381 Titre : An efficient point cloud management method based on a 3D R-tree Type de document : Article/Communication Auteurs : J. Gong, Auteur ; Q. Zhu, Auteur ; R. Zhong, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 373 - 381 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbre-R [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] octree [Termes IGN] performance [Termes IGN] semis de points Résumé : (Auteur) Vehicle-borne laser-scanned point clouds have become increasingly important 3D data sources in fields such as digital city modeling and emergency response management. Aiming at reducing the technical bottlenecks of management and visualization of very large point cloud data sets, this paper proposes a new spatial organization method called 3DOR-Tree, which integrates Octree and 3D R-Tree data structures. This method utilizes Octree's rapid convergence to generate R-Tree leaf nodes, which are inserted directly into the R-Tree, thus avoiding time-consuming point-by-point insertion operations. Furthermore, this paper extends the R-Tree structure to support LOD (level of detail) models. Based on the extended structure, a practical data management method is presented. Finally, an adaptive control method for LODS of point clouds is illustrated. Typical experimental results show that our method possesses quasi-real-time index construction speed, a good storage utilization rate, and efficient visualization performance. Numéro de notice : A2012-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.4.373 En ligne : https://doi.org/10.14358/PERS.78.4.373 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31627 [article]

Detecting geometric conflicts for generalisation of polygonal maps / Wenxiu Gao in Cartographic journal (the), vol 49 n° 1 (February 2012)  

Public [article]  inCartographic journal (the) > vol 49 n° 1 (February 2012) . - pp 21 - 29 Titre : Detecting geometric conflicts for generalisation of polygonal maps Type de document : Article/Communication Auteurs : Wenxiu Gao, Auteur ; J. Gong, Auteur ; L. Yang, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 21 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] conflit d'espace [Termes IGN] généralisation cartographique automatisée [Termes IGN] polygone [Termes IGN] zone tampon [Vedettes matières IGN] Généralisation Résumé : (Auteur) Polygon generalisation is an essential process to produce multi-scale polygonal maps which are able to visualize categorical data at various levels of detail and with multiple themes. Detecting geometric conflicts, existing within an individual polygon and between polygons, is a primary step for polygon generalisation. This paper designs an inward-outward-buffering approach to detect narrow conflicts within an individual polygon. The approach not only detects the existence of narrow sections but also indicates their exact locations inside polygons. Another approach is presented to detect proximity conflicts in between polygons with two main steps. The first step associates buffering with an optimized proximity index to explore possible polygon clusters and spatial contexts around a problematic polygon. Based on the detected polygon clusters, the conflict regions are identified by combining outward-inward-buffering with topological operators. The tests with a real landuse dataset and two maps from other papers demonstrate that the presented approaches not only detect geometric conflict effectively, but also provide useful information for the selection of subsequent generalisation operators. Numéro de notice : A2012-169 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277411Y.0000000016 Date de publication en ligne : 22/11/2013 En ligne : https://doi.org/10.1179/1743277411Y.0000000016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31616 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Automatic geospatial metadata generation for earth science virtual data products / P. Yue in Geoinformatica, vol 16 n° 1 (January 2012)  

Public [article]  inGeoinformatica > vol 16 n° 1 (January 2012) . - pp 1 - 29 Titre : Automatic geospatial metadata generation for earth science virtual data products Type de document : Article/Communication Auteurs : P. Yue, Auteur ; J. Gong, Auteur ; L. Di, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] données localisées numériques [Termes IGN] environnement géographique virtuel [Termes IGN] flux de travaux [Termes IGN] métadonnées [Termes IGN] service web géographique [Termes IGN] web sémantique Résumé : (Auteur) Recent advances in Semantic Web and Web Service technologies has shown promise for automatically deriving geospatial information and knowledge from Earth science data distributed over the Web. In a service-oriented environment, the data, information, and knowledge are often consumed or produced by complex, distributed geoscientific workflows or service chains. In order for the chaining results to be consumable, sufficient metadata for data products to be delivered by service chains must be provided. This paper proposes automatic generation of geospatial metadata for Earth science virtual data products. A virtual data product is represented using process models, and can be materialized on demand by dynamically binding and chaining archived data and services, as opposed to requiring that Earth science data products be physically archived. Semantics-enabled geospatial metadata is generated, validated, and propagated during the materialization of a virtual data product. The generated metadata not only provides a context in which end-users can interpret data products before intensive execution of service chains, but also assures semantic consistency of the service chains. Numéro de notice : A2012-080 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-011-0123-x Date de publication en ligne : 02/02/2011 En ligne : https://doi.org/10.1007/s10707-011-0123-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31528 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 2 (February 2011) . - pp 125 - 139 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 bâti Résumé : (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 [article]

GeoPW : Laying Blocks for the Geospatial Processing Web / P. Yue in Transactions in GIS, vol 14 n° 6 (December 2010)  

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A two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters / H. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)  

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A supervised artificial immune classifier for remote-sensing imagery / Y. Zhong in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)  

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Thematic knowledge for the generalization of land use data / Wenxiu Gao in Cartographic journal (the), vol 41 n° 3 (December 2004)  

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Distributed virtual environments for managing country parks in Hong Kong: a case study of the Shing Mun Country Park / H. Lin in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 4 (April 2002)  

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