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Towards a generic method for building-parcel vector data adjustment by least squares / Yann Méneroux in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W5 (October 2015)  

Public [article]  inISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 W5 (October 2015) . - pp 203 - 210 Titre : Towards a generic method for building-parcel vector data adjustment by least squares Type de document : Article/Communication Auteurs : Yann Méneroux , Auteur ; Mickaël Brasebin , Auteur Année de publication : 2015 Conférence : ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData 28/09/2015 03/10/2015 La Grande Motte France ISPRS OA Annals Article en page(s) : pp 203 - 210 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] bati [Termes IGN] cohérence des données [Termes IGN] compensation par moindres carrés [Termes IGN] conflation [Termes IGN] conflation par moindres carrés [Termes IGN] données vectorielles [Termes IGN] modèle géométrique du bâti [Termes IGN] relation topologique Résumé : (auteur) Being able to merge high quality and complete building models with parcel data is of a paramount importance for any application dealing with urban planning. However since parcel boundaries often stand for the legal reference frame, the whole correction will be exclusively done on building features. Then a major task is to identify spatial relationships and properties that buildings should keep through the conflation process. The purpose of this paper is to describe a method based on least squares approach to ensure that buildings fit consistently into parcels while abiding by a set of standard constraints that may concern most of urban applications. An important asset of our model is that it can be easily extended to comply with more specific constraints. In addition, results analysis also demonstrates that it provides significantly better output than a basic algorithm relying on an individual correction of features, especially regarding conservation of metrics and topological relationships between buildings. In the future, we would like to include more specific constraints to retrieve the actual positions of buildings relatively to parcel borders and we plan to assess the contribution of our algorithm on the quality of urban application outputs. Numéro de notice : A2015--058 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-W5-203-2015 Date de publication en ligne : 19/08/2015 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-W5-203-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83473 [article]

Conflation optimized by least squares to maintain geographic shapes / Guillaume Touya in ISPRS International journal of geo-information, vol 2 n° 3 (September 2013)  

Public [article]  inISPRS International journal of geo-information > vol 2 n° 3 (September 2013) . - pp 621 - 644 Titre : Conflation optimized by least squares to maintain geographic shapes Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Adeline Coupé, Auteur ; Jérémie Le Jollec, Auteur ; Olivier Dorie, Auteur ; Frank Fuchs , Auteur Année de publication : 2013 Article en page(s) : pp 621 - 644 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] appariement automatique [Termes IGN] conflation par moindres carrés [Termes IGN] parcelle cadastrale [Termes IGN] polygone [Termes IGN] programmation par contraintes [Termes IGN] utilisation du sol Résumé : (auteur) Recent technologies allowed a major growth of geographical datasets with different levels of detail, different point of views, and different specifications, but on the same geographical extent. These datasets need to be integrated in order to benefit from their diversity. Conflation is one of the solutions to provide integration. Conflation aims at combining data that represent same entities from several datasets, into a richer new dataset. This paper proposes a framework that provides a geometrical conflation that preserves the characteristic shapes of geographic data. The framework is based on least squares adjustment, inspired from least squares based generalization techniques. It does not require very precise pre-matching, which is interesting as automatic matching remains a challenging task. Several constraints are proposed to preserve different kind of shape and relations between features, while conflating data. The framework is applied to a real land use parcels conflation problem with excellent results. The least squares based conflation is evaluated, notably with comparisons with existing techniques like rubber sheeting. The paper also describes how the framework can be extended to other geometrical optimization problems. Numéro de notice : A2013-790 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi2030621 En ligne : http://dx.doi.org/10.3390/ijgi2030621 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80107 [article]