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The variants of an LOD of a 3D building model and their influence on spatial analyses / Filip Biljecki in ISPRS Journal of photogrammetry and remote sensing, vol 116 (June 2016)
[article]
Titre : The variants of an LOD of a 3D building model and their influence on spatial analyses Type de document : Article/Communication Auteurs : Filip Biljecki, Auteur ; Hugo Ledoux, Auteur ; Jantien E. Stoter, Auteur ; M. George Vosselman, Auteur Année de publication : 2016 Article en page(s) : pp 42 – 54 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse spatiale
[Termes IGN] CityGML
[Termes IGN] cohérence géométrique
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] niveau de détail
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] SIG 3DRésumé : (auteur) The level of detail (LOD) of a 3D city model indicates the model’s grade and usability. However, there exist multiple valid variants of each LOD. As a consequence, the LOD concept is inconclusive as an instruction for the acquisition of 3D city models. For instance, the top surface of an LOD1 block model may be modelled at the eaves of a building or at its ridge height. Such variants, which we term geometric references, are often overlooked and are usually not documented in the metadata. Furthermore, the influence of a particular geometric reference on the performance of a spatial analysis is not known.
In response to this research gap, we investigate a variety of LOD1 and LOD2 geometric references that are commonly employed, and perform numerical experiments to investigate their relative difference when used as input for different spatial analyses. We consider three use cases (estimation of the area of the building envelope, building volume, and shadows cast by buildings), and compute the deviations in a Monte Carlo simulation.
The experiments, carried out with procedurally generated models, indicate that two 3D models representing the same building at the same LOD, but modelled according to different geometric references, may yield substantially different results when used in a spatial analysis. The outcome of our experiments also suggests that the geometric reference may have a bigger influence than the LOD, since an LOD1 with a specific geometric reference may yield a more accurate result than when using LOD2 models.Numéro de notice : A2016-577 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.03.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.03.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81709
in ISPRS Journal of photogrammetry and remote sensing > vol 116 (June 2016) . - pp 42 – 54[article]Automatic 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)
[article]
Titre : Automatic detection and reconstruction of 2-D/3-D building shapes from spaceborne TomoSAR point clouds Type de document : Article/Communication Auteurs : Muhammad Shahzad, Auteur ; Xiao Xiang Zhu, Auteur Année de publication : 2016 Article en page(s) : pp 1292 - 1310 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] angle de visée
[Termes IGN] Berlin
[Termes IGN] détection automatique
[Termes IGN] façade
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] Las Vegas
[Termes IGN] reconstruction 2D du bâti
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] toit
[Termes IGN] tomographie radarRésumé : (Auteur) Modern spaceborne synthetic aperture radar (SAR) sensors, such as TerraSAR-X/TanDEM-X and COSMO-SkyMed, can deliver very high resolution (VHR) data beyond the inherent spatial scales of buildings. Processing these VHR data with advanced interferometric techniques, such as SAR tomography (TomoSAR), allows for the generation of four-dimensional point clouds, containing not only the 3-D positions of the scatterer location but also the estimates of seasonal/temporal deformation on the scale of centimeters or even millimeters, making them very attractive for generating dynamic city models from space. Motivated by these chances, the authors have earlier proposed approaches that demonstrated first attempts toward reconstruction of building facades from this class of data. The approaches work well when high density of facade points exists, and the full shape of the building could be reconstructed if data are available from multiple views, e.g., from both ascending and descending orbits. However, there are cases when no or only few facade points are available. This usually happens for lower height buildings and renders the detection of facade points/regions very challenging. Moreover, problems related to the visibility of facades mainly facing toward the azimuth direction (i.e., facades orthogonally oriented to the flight direction) can also cause difficulties in deriving the complete structure of individual buildings. These problems motivated us to reconstruct full 2-D/3-D shapes of buildings via exploitation of roof points. In this paper, we present a novel and complete data-driven framework for the automatic (parametric) reconstruction of 2-D/3-D building shapes (or footprints) using unstructured TomoSAR point clouds particularly generated from one viewing angle only. The proposed approach is illustrated and validated by examples using TomoSAR point clouds generated using TerraSAR-X high-resolution spotlight data stacks acquired from ascending orbit covering two differen- test areas, with one containing simple moderate-sized buildings in Las Vegas, USA and the other containing relatively complex building structures in Berlin, Germany. Numéro de notice : A2016-129 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2477429 En ligne : http://dx.doi.org/10.1109/TGRS.2015.2477429 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80016
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 3 (March 2016) . - pp 1292 - 1310[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2016031 SL Revue Centre de documentation Revues en salle Disponible Automatic 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)
[article]
Titre : Automatic keyline recognition and 3D reconstruction for quasi-planar façades in close-range images Type de document : Article/Communication Auteurs : Chang Li, Auteur ; Yongjun Zhang, Auteur ; Zuxun Zhang, Auteur Année de publication : 2016 Article en page(s) : pp. 29 - 50 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] appariement de lignes
[Termes IGN] espace convexe
[Termes IGN] façade
[Termes IGN] photogrammétrie métrologique
[Termes IGN] reconnaissance de formes
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] surface concaveRésumé : (Auteur) Critical keylines, such as concave and convex edges of a building façade, can be lost in photogrammetric recognition procedures. To solve this problem and to reconstruct quasi-planar 3D façades automatically and precisely, a set of algorithms and techniques for the automatic recognition of lines and 3D reconstruction is proposed. This includes: (1) a procedure for line-segment matching that satisfies the spatial requirements of a 3D scene based on “global independence” and “local dependence”; (2) a technique of generalised point bundle block adjustment combined with spatial line constraints (in the form of virtual observations) to control the propagation of error; and (3) the methods of perceptual organisation, plane fitting and plane–plane intersection are suggested to acquire the critical keylines corresponding to concave and convex building edges. Experimental results show that these new algorithms are feasible and applicable to recognition and 3D reconstruction. Recommendations for recognition methods are provided depending on whether or not a priori topological relationships are available between the planes under consideration. Numéro de notice : A2016-160 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12141 Date de publication en ligne : 14/03/2016 En ligne : https://doi.org/10.1111/phor.12141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80460
in Photogrammetric record > vol 31 n° 153 (March - May 2016) . - pp. 29 - 50[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Reconstructing a church in 3D / Matthias Naumann in GIM international [en ligne], vol 30 n° 2 (February 2016)
[article]
Titre : Reconstructing a church in 3D Type de document : Article/Communication Auteurs : Matthias Naumann, Auteur ; Gôrres Grenidôrffer, Auteur Année de publication : 2016 Article en page(s) : pp 12 - 15 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] appariement de données localisées
[Termes IGN] données lidar
[Termes IGN] drone
[Termes IGN] église
[Termes IGN] photogrammétrie architecturale
[Termes IGN] photogrammétrie terrestre
[Termes IGN] précision des données
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de pointsRésumé : (éditeur) Reconstruction and maintenance work in historical buildings such as churches requires detailed and accurate information about them, but it can be difficult and expensive to acquire such data efficiently. The combination of terrestrial Lidar and UAS-based photogrammetry provides an adequate approach for gathering a full model of the outside of a church. Additionally, it allows for accuracy evaluation by comparing areas with overlap between terrestrial Lidar and the point cloud derived from the UAS images. Numéro de notice : A2016-081 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79916
in GIM international [en ligne] > vol 30 n° 2 (February 2016) . - pp 12 - 15[article]Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring / Martina Porfiri (2016)
Titre : Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring Type de document : Thèse/HDR Auteurs : Martina Porfiri, Auteur ; Mattia Crespi, Auteur ; Laurent Ferro-Famil, Auteur Editeur : Rennes : Université de Rennes 1 Année de publication : 2016 Autre Editeur : Rennes : Université Bretagne Loire Importance : 137 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse de l'Université de Rennes 1 sous le sceau de l’Université Bretagne Loire, En Cotutelle Internationale avec l'Université de Rome 1 « La Sapienza », Traitement du signal et télécommunications.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection de changement
[Termes IGN] distorsion d'image
[Termes IGN] image à haute résolution
[Termes IGN] image radar moirée
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] Paris (75)
[Termes IGN] polarisation
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] réflectivité
[Termes IGN] semis de points
[Termes IGN] tomographie radarIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The urbanization and the management of urban environment and its periphery become one of the most crucial issues in developed and developing countries. In these circumstances, remote sensing data are an important source of information that reflects interactions between human beings and their environment. Given their complete independence from logistic constraints on the ground, illumination (daylight), and weather (clouds) conditions, Synthetic Aperture Radar (SAR) satellite systems may provide important contributions in complex environments 3-D reconstruction. The new generation of high resolution SAR sensors as COSMO-SkyMed, TerraSAR-X and RADARSAT-2 allowed to acquire high resolution SAR imagery. Here the attention is put on the 3-D imaging technique called SAR Tomography: starting from a stack of images collected using multibaseline data performed in interferometric configuration, such a technique allows to retrieve height information forming a synthetic aperture in the elevation direction in order to achieve a substantially improved resolution. The present PhD thesis is focused on the high potentialities of tomographic techniques in 3-D change monitoring and characterization for complex and dense built-up areas using basic mono-dimensional estimators as Beamforming, Capon and MUSIC combined to very high satellite SAR resolution imagery. 2-D and 3-D analysis have been presented over the urban area of Paris using TerraSAR-X data at high resolution and single polarisation. Being mainly focused on the 3-D tomographic techniques, in the presented work 4-D methods, such as compressive sensing (CS), have not been taken into account. At first, the analysis of the interferometric quality of the processed data set has been performed and results showed good mean coherence values within the entire stack. The extraction of 2-D tomograms over different azimuth-profile has showed the capabilities to distinguish more than one scatterer within the same resolution cell and to reconstruct the vertical building profiles. Successively, a global 3-D characterization both in term of buildings heights and vertical reflectivity has been performed in order to develop a monitoring tool for the changes of single structures. Moreover, the possibility to correct the geometric distortions due to the layover (that strongly affects such kind of scenarios) and to determine the information about the number of scatterers (up to three) and the corresponding reflectivity within one resolution cell have been evaluated. Moreover an innovative time stability analysis of the observed scene have been carried out in order to detect the stable and unstable scatterers. Globally, the investigations showed noisier and sparser point clouds for the Capon method, whereas better capabilities for the Beamforming and MUSIC ones. Indeed, it was possible to detect different scatterers located within the same resolution cell and to resolve pixels affected by the layover. This has lead to perform a good reconstruction of building shape and location and a good estimation of their elevation. The 3-D time stability analysis demonstrated the possibility to monitor the 3-D change depending on the time. Eventually, it is possible to assert that processing high resolution SAR data allows to achieve a strong improvement in 3-D imaging capabilities. It has been demonstrated the potentialities of TomoSAR technique in distortions correction and in 3-D change monitoring using basic mono-dimensional estimators. Note de contenu : 1- Introduction
2- SAR: Synthetic Aperture Radar
3- 3-D SAR imaging
4- SAR Tomography
5- 2-D analysis and results
6- 3-D analysis and results
7- Conclusions and outlookNuméro de notice : 25879 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Traitement du signal et télécommunications : Université Bretagne Loire : 2016 Organisme de stage : Institut d’Electronique et de Télécommunications de Rennes nature-HAL : Thèse DOI : sans En ligne : http://www.theses.fr/2016REN1S035 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95690 Object-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection / Anandakumar M. Ramiya in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkApplication of technical measures and software in constructing photorealistic 3D models of historical building using ground-based and aerial (UAV) digital images / Aleksander Zarnowski in Reports on geodesy and geoinformatics, vol 99 (December 2015)PermalinkAutomatically enhancing CityGML LOD2 models with a corresponding indoor geometry / Roeland Boeters in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)PermalinkCreation of parametric BIM objects from point clouds using nurbs / Luigi Barazzetti in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)PermalinkLe relevé 3D du patrimoine culturel : la Ca' Vendramin dei Leoni, musée Guggenheim de Venise / Caterina Balletti in XYZ, n° 145 (décembre 2015 - février 2016)PermalinkStochastic geometrical model and Monte Carlo optimization methods for building reconstruction from InSAR data / Yue Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)PermalinkAutomatic construction of 3-D building model from airborne LIDAR data through 2-D snake algorithm / Jianhua Yan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)PermalinkConception d’une méthode de consolidation de grands réseaux lasergrammétriques / Emmanuel Clédat (2015)PermalinkModélisation 3D de la chapelle Saint-Laurent et de la place du Château (secteur 3) pour extraction de données archéologiques et visite virtuelle / Robin Bruna (2015)PermalinkPermalinkAutomatic 3D modelling of metal frame connections from LiDAR data for structural engineering purposes / M. Cabaleiro in ISPRS Journal of photogrammetry and remote sensing, vol 96 (October 2014)PermalinkUtilisation de la 3D à Metz-métropole (2) / Thomas Dalstein in Géomatique expert, n° 100 (01/09/2014)PermalinkContext-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks / Dimitri Bolatov in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)PermalinkA graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds / B. Xiong in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)PermalinkAutomatic reconstruction of regular buildings using a shape-based balloon snake model / Diaro Yari in Photogrammetric record, vol 29 n° 146 (June - August 2014)PermalinkFacade reconstruction using multiview spaceborne TomoSAR point clouds / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)Permalink3D Hilbert space filling curves in 3D city modeling for faster spatial queries / Uznir Ujang in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)PermalinkContextual classification of lidar data and building object detection in urban areas / Joachim Niemeyer in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkPermalinkGeometric structure simplification of 3D building models / Qingquan Li in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)Permalink