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From point cloud to BIM: an integrated workflow for documentation, research and modelling of architectural heritage / C. Rodríguez-Moreno in Survey review, vol 50 n° 360 (May 2018)
[article]
Titre : From point cloud to BIM: an integrated workflow for documentation, research and modelling of architectural heritage Type de document : Article/Communication Auteurs : C. Rodríguez-Moreno, Auteur ; J.F. Reinoso-Gordo, Auteur ; E. Rivas-López, Auteur ; A. Gómez-Blanco, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 212 - 231 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] église
[Termes IGN] Grenade
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] patrimoine immobilier
[Termes IGN] semis de pointsRésumé : (auteur) Heritage buildings traditionally have been tackled from several points of view: architectonic features, architectural style, archaeology, history, etc. Documents derived from those studies were classified and put together to form the documentation for consultation, taking decisions about its conservation, and restoration. Such a document organisation has some inconveniences: objects composing the building were treated as isolated objects not related to its adjacent objects. Nowadays technology may help to discover the relationship between architectural objects forming heritage buildings. The tool that makes it possible to include functionality in architectural objects is BIM (Building Information Modelling). In this paper, the historical evolution of Saint Jeromés Church in Baza will be analysed and stored in a functional model which includes geometry and its current state. We propose a procedure for building the BIM through its historical roots and evolution to be included in each remarkable object modelled from the point cloud surveyed. Numéro de notice : A2018-183 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/00396265.2016.1259719 Date de publication en ligne : 02/12/2016 En ligne : https://doi.org/10.1080/00396265.2016.1259719 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89827
in Survey review > vol 50 n° 360 (May 2018) . - pp 212 - 231[article]Possibilities and limits of prospective GIS land cover modelling, a compared case study: garretoxes (France) and Alta Alpujarra Granadina (Spain) / Martin Paegelow in International journal of geographical information science IJGIS, vol 19 n° 6 (july 2005)
[article]
Titre : Possibilities and limits of prospective GIS land cover modelling, a compared case study: garretoxes (France) and Alta Alpujarra Granadina (Spain) Type de document : Article/Communication Auteurs : Martin Paegelow, Auteur ; M.T. Camacho Olmedo, Auteur Année de publication : 2005 Article en page(s) : pp 697 - 722 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse comparative
[Termes IGN] analyse multicritère
[Termes IGN] automate cellulaire
[Termes IGN] chaîne de Markov
[Termes IGN] Grenade
[Termes IGN] modélisation
[Termes IGN] occupation du sol
[Termes IGN] prédiction
[Termes IGN] prospective
[Termes IGN] Pyrénées-orientales (66)
[Termes IGN] système d'information géographiqueRésumé : (Auteur) This study focuses on the possibilities and the limits of a prospective GIS land cover modelling applied to two case studies (France and Spain). The methodology, based on available GIS tools, consists of using earlier land cover maps and relevant environmental factors (calibration data) to model actual, known land cover to validate the model. The model aggregates Markov chain analysis for time prediction and multi-critera evaluation, multi-objective evaluation and cellular automata to perform spatial contiguity of modelled land cover scores. The first results give an accurate, pixel by pixel prediction rate of approximately 75%. An important issue of this study consists of analysing prediction residues to improve the model. Numéro de notice : A2005-289 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810500076443 En ligne : https://doi.org/10.1080/13658810500076443 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27425
in International journal of geographical information science IJGIS > vol 19 n° 6 (july 2005) . - pp 697 - 722[article]Réservation
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