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Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data / Yao Yao in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)
[article]
Titre : Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data Type de document : Article/Communication Auteurs : Yao Yao, Auteur ; Xiaoping Liu, Auteur ; Xia Li, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1220 - 1244 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] bâtiment
[Termes IGN] Canton (Kouangtoung)
[Termes IGN] cartographie statistique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] densité de population
[Termes IGN] données localisées des bénévoles
[Termes IGN] données massives
[Termes IGN] données statistiques
[Termes IGN] habitat collectif
[Termes IGN] habitat urbain
[Termes IGN] intégration de données
[Termes IGN] point d'intérêt
[Termes IGN] population urbaine
[Termes IGN] répartition géographiqueRésumé : (auteur) Fine-scale population distribution data at the building level play an essential role in numerous fields, for example urban planning and disaster prevention. The rapid technological development of remote sensing (RS) and geographical information system (GIS) in recent decades has benefited numerous population distribution mapping studies. However, most of these studies focused on global population and environmental changes; few considered fine-scale population mapping at the local scale, largely because of a lack of reliable data and models. As geospatial big data booms, Internet-collected volunteered geographic information (VGI) can now be used to solve this problem. This article establishes a novel framework to map urban population distributions at the building scale by integrating multisource geospatial big data, which is essential for the fine-scale mapping of population distributions. First, Baidu points-of-interest (POIs) and real-time Tencent user densities (RTUD) are analyzed by using a random forest algorithm to down-scale the street-level population distribution to the grid level. Then, we design an effective iterative building-population gravity model to map population distributions at the building level. Meanwhile, we introduce a densely inhabited index (DII), generated by the proposed gravity model, which can be used to estimate the degree of residential crowding. According to a comparison with official community-level census data and the results of previous population mapping methods, our method exhibits the best accuracy (Pearson R = .8615, RMSE = 663.3250, p Numéro de notice : A2017-245 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1290252 En ligne : http://dx.doi.org/10.1080/13658816.2017.1290252 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85188
in International journal of geographical information science IJGIS > vol 31 n° 5-6 (May-June 2017) . - pp 1220 - 1244[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017031 RAB Revue Centre de documentation En réserve L003 Disponible Geodetic monitoring of subrosion-induced subsidence processes in urban areas / Tobias Kersten in Journal of applied geodesy, vol 11 n° 1 (March 2017)
[article]
Titre : Geodetic monitoring of subrosion-induced subsidence processes in urban areas Type de document : Article/Communication Auteurs : Tobias Kersten, Auteur ; Martin Kobe, Auteur ; Gerald Gabriel, Auteur ; Ludger Timmen, Auteur ; Steffen Schön, Auteur ; Detlef Vogel, Auteur Année de publication : 2017 Article en page(s) : pp 21 - 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] église
[Termes IGN] gravimétrie
[Termes IGN] Hambourg
[Termes IGN] nivellement
[Termes IGN] positionnement par GNSS
[Termes IGN] réseau de surveillance géophysique
[Termes IGN] subsidence
[Termes IGN] surveillance géologique
[Termes IGN] Thuringe
[Termes IGN] tour (bâtiment)
[Termes IGN] zone urbaineRésumé : (Résumé) The research project SIMULTAN applies an advanced combination of geophysical, geodetic, and modelling techniques to gain a better understanding of the evolution and characteristics of sinkholes. Sinkholes are inherently related to surface deformation and, thus, of increasing societal relevance, especially in dense populated urban areas. One work package of SIMULTAN investigates an integrated approach to monitor sinkhole-related mass translations and surface deformations induced by salt dissolution. Datasets from identical and adjacent points are used for a consistent combination of geodetic and geophysical techniques. Monitoring networks are established in Hamburg and Bad Frankenhausen (Thuringia). Levelling surveys indicate subsidence rates of about 4–5 mm per year in the main subsidence areas of Bad Frankenhausen with a local maximum of 10 mm per year around the leaning church tower.
Here, the concept of combining geodetic and gravimetric techniques to monitor and characterise geological processes on and below the Earth's surface is exemplary discussed for the focus area Bad Frankenhausen. For the different methods (levelling, GNSS, relative/absolute gravimetry) stable network results at identical points are obtained by the first campaigns, i.e., the results are generally in agreement.Numéro de notice : A2017-281 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/jag-2016-0029 En ligne : https://doi.org/10.1515/jag-2016-0029 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85314
in Journal of applied geodesy > vol 11 n° 1 (March 2017) . - pp 21 - 30[article]Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings / Dongliang Wang in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)
[article]
Titre : Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings Type de document : Article/Communication Auteurs : Dongliang Wang, Auteur ; Wei Cao, Auteur ; Xiaoping Xin, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 207 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] axe médian
[Termes IGN] bâtiment
[Termes IGN] données vectorielles
[Termes IGN] géométrie vectorielle
[Termes IGN] image aérienne
[Termes IGN] mosaïquage d'images
[Termes IGN] orthoimage
[Termes IGN] orthophotoplan numériqueRésumé : (Auteur) A novel seam detection approach based on vector building maps is presented for low-attitude aerial orthoimage mosaicking. The approach tracks the centerlines between vector buildings to generate the candidate seams that avoid crossing buildings existing in maps. The candidate seams are then refined by considering their surrounding pixels to minimize the visual transition between the images to be mosaicked. After the refinement of the candidate seams, the final seams further bypass most of the buildings that are not updated into vector maps. Finally, three groups of aerial imagery from different urban densities are employed to test the proposed approach. The experimental results illustrate the advantages of the proposed approach in avoiding the crossing of buildings. The computational efficiency of the proposed approach is also significantly higher than that of Dijkstra’s algorithm. Numéro de notice : A2017-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.015 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84326
in ISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 207 - 224[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017031 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017033 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017032 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt A hierarchical methodology for urban facade parsing from TLS point clouds / Zhuqiang Li in ISPRS Journal of photogrammetry and remote sensing, vol 123 (January 2017)
[article]
Titre : A hierarchical methodology for urban facade parsing from TLS point clouds Type de document : Article/Communication Auteurs : Zhuqiang Li, Auteur ; Liqiang Zhang, Auteur ; P. Takis Mathiopoulos, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 75 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de données
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] évaluation
[Termes IGN] façade
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestre
[Termes IGN] zone urbaineRésumé : (Auteur) The effective and automated parsing of building facades from terrestrial laser scanning (TLS) point clouds of urban environments is an important research topic in the GIS and remote sensing fields. It is also challenging because of the complexity and great variety of the available 3D building facade layouts as well as the noise and data missing of the input TLS point clouds. In this paper, we introduce a novel methodology for the accurate and computationally efficient parsing of urban building facades from TLS point clouds. The main novelty of the proposed methodology is that it is a systematic and hierarchical approach that considers, in an adaptive way, the semantic and underlying structures of the urban facades for segmentation and subsequent accurate modeling. Firstly, the available input point cloud is decomposed into depth planes based on a data-driven method; such layer decomposition enables similarity detection in each depth plane layer. Secondly, the labeling of the facade elements is performed using the SVM classifier in combination with our proposed BieS-ScSPM algorithm. The labeling outcome is then augmented with weak architectural knowledge. Thirdly, least-squares fitted normalized gray accumulative curves are applied to detect regular structures, and a binarization dilation extraction algorithm is used to partition facade elements. A dynamic line-by-line division is further applied to extract the boundaries of the elements. The 3D geometrical façade models are then reconstructed by optimizing facade elements across depth plane layers. We have evaluated the performance of the proposed method using several TLS facade datasets. Qualitative and quantitative performance comparisons with several other state-of-the-art methods dealing with the same facade parsing problem have demonstrated its superiority in performance and its effectiveness in improving segmentation accuracy. Numéro de notice : A2017-009 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.11.008 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.11.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83910
in ISPRS Journal of photogrammetry and remote sensing > vol 123 (January 2017) . - pp 75 - 93[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017011 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017013 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017012 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Hierarchically exploring the width of spectral bands for urban material classification / Arnaud Le Bris (2017)
Titre : Hierarchically exploring the width of spectral bands for urban material classification Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur ; Nicolas Paparoditis , Auteur ; Nesrine Chehata , Auteur ; Xavier Briottet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2017 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : JURSE 2017, Joint urban remote sensing event 06/03/2017 08/03/2017 Lausanne Suisse Proceedings IEEE Importance : 4 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] bande spectrale
[Termes IGN] capteur superspectral
[Termes IGN] limite de résolution géométrique
[Termes IGN] limite de résolution radiométrique
[Termes IGN] propriété optique des matériaux
[Termes IGN] réflectance de surface
[Termes IGN] signature spectrale
[Termes IGN] toit
[Termes IGN] zone urbaineRésumé : (auteur) In urban areas, material maps, i.e. knowledge concerning the roofing materials or the different kinds of ground areas, are necessary for several city modeling or monitoring applications. Airborne remote sensing techniques appear to be convenient for providing them at a large scale but require an enhanced imagery spectral resolution. A superspectral sensor with a limited number of bands dedicated to urban materials classification could be a solution. Within this context, this study focused on the optimization of this band subset from hyperspectral data, considering both the position of the bands and their width. The used approach first builds a hierarchy of groups of adjacent bands, according to a relevance criterion to decide which adjacent bands must be merged. Then, band selection is performed at the different levels of this hierarchy. Several band configurations are thus explored within this hierarchy. This method was applied to a data set consisting of spectra generated from reflectance spectral signatures of 9 common urban materials collected from 7 spectral libraries. At the end, the potential of a superspectral sensor with wider bands was confirmed. Numéro de notice : C2017-031 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/JURSE.2017.7924628 Date de publication en ligne : 11/05/2017 En ligne : https://doi.org/10.1109/JURSE.2017.7924628 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89295 PermalinkDu nuage de points à la maquette numérique de bâtiment : reconstruction 3D semi-automatique de bâtiments existants / Hélène Macher (2017)PermalinkClose-range photogrammetric tools for epigraphic surveys / Mariam Samaan in Journal on Computing and Cultural Heritage, JOCCH, vol 9 n° 3 (November 2016)PermalinkCulture for all / R. Scibetta in GEO: Geoconnexion international, vol 15 n° 10 (November - December 2016)PermalinkSlicing method for curved façade and window extraction from point clouds / S.M. Iman Zolanvari in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)PermalinkAn immune genetic algorithm to buildings displacement in cartographic generalization / Yageng Sun in Transactions in GIS, vol 20 n° 4 (August 2016)PermalinkThe 3d model-map of Cadiz (1779): A unique project of cartography in modern Spain / Gabriel Granado-Castro in Cartographic journal (the), Vol 53 n° 3 (August 2016)PermalinkOpenBIM framework for a collaborative historic preservation system / Shawn E. O'Keeffe in International journal of 3-D information modeling, vol 5 n° 4 (October - December 2016)PermalinkThe contribution of laser scanning technology in the estimation of ancient Greek monuments' deformations / G. D. Georgopoulos in Survey review, vol 48 n° 349 (July 2016)PermalinkATLAS: A three-layered approach to facade parsing / Markus Mathias in International journal of computer vision, vol 118 n° 1 (May 2016)PermalinkLearning grammars for architecture-specific facade parsing / Raghudeep Gadde in International journal of computer vision, vol 117 n° 3 (May 2016)PermalinkAutomatic detection and reconstruction of 2-D/3-D building shapes from spaceborne TomoSAR point clouds / Muhammad Shahzad in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkAutomatic keyline recognition and 3D reconstruction for quasi-planar façades in close-range images / Chang Li in Photogrammetric record, vol 31 n° 153 (March - May 2016)PermalinkCore wall control survey / Joël Van Cranenbroeck in GIM international, vol 30 n° 3 (March 2016)PermalinkEnergy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy) / Giorgio Agugiaro in Applied geomatics, vol 8 n° 1 (March 2016)PermalinkPhysical 3D map of the Planica Nordic Center, Slovenia: cartographic principles and techniques used with 3D printing / Primož Kete in Cartographica, vol 51 n° 1 (Spring 2016)PermalinkReconstructing a Mythical Past / Andrew Blogg in GIM international, vol 30 n° 3 (March 2016)PermalinkReconstructing a church in 3D / Matthias Naumann in GIM international, vol 30 n° 2 (February 2016)PermalinkConception et implémentation d'un modèle de style adapté à une application web 3D / Anouk Vinesse (2016)PermalinkDéveloppement d’applications Android en réalité augmentée pour atténuer les risques liés aux séismes / Hugo Baltz (2016)Permalink