Descripteur
Documents disponibles dans cette catégorie (36)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Automatic extraction of urban vegetation structures from high resolution imagery and digital elevation models / Corina Iovan (2007)
Titre : Automatic extraction of urban vegetation structures from high resolution imagery and digital elevation models Type de document : Article/Communication Auteurs : Corina Iovan , Auteur ; Didier Boldo , Auteur ; Matthieu Cord, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2007 Conférence : JURSE 2007, Joint Urban Remote Sensing Event 11/04/2007 13/04/2007 Paris France Proceedings IEEE Importance : 5 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] délimitation
[Termes IGN] extraction automatique
[Termes IGN] image à haute résolution
[Termes IGN] image multibande
[Termes IGN] modèle numérique de surface
[Termes IGN] segmentation en régions
[Termes IGN] zone urbaine denseRésumé : (auteur) This paper presents a method for automatic extraction and characterisation of vegetation structures (such as trees, shrubs, hedges or lawns) in high density urban areas. We present a hierarchical strategy to extract, analyze and delineate vegetation areas according to their height. Spectral indices are used to detect urban vegetation areas. We differentiate lawns from treed areas by computing a texture operator on the digital elevation model (DEM) corresponding to the vegetation areas previously detected. A robust region growing method based on the DEM is developed for an accurate delineation of tree crowns. We evaluate the accuracy of the tree crown delineation results to a reference manual delineation. Results obtained are discussed and the influential factors are put forward. Numéro de notice : C2007-040 Affiliation des auteurs : MATIS+Ext (1993-2011) Autre URL associée : voir HAL Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/URS.2007.371840 En ligne : https://doi.org/10.1109/URS.2007.371840 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99033 Automatic building reconstruction from a digital elevation model and cadastral data : an operational approach / Mélanie Durupt (2006)
Titre : Automatic building reconstruction from a digital elevation model and cadastral data : an operational approach Type de document : Article/Communication Auteurs : Mélanie Durupt, Auteur ; Franck Taillandier , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3 Conférence : PCV 2006, ISPRS - Commission 3 symposium Photogrammetric Computer vision 20/09/2006 22/09/2006 Bonn Allemagne OA ISPRS Archives Importance : pp 142 - 147 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données cadastrales
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] modélisation 3D
[Termes IGN] primitive géométrique
[Termes IGN] Ransac (algorithme)
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] toit
[Termes IGN] zone urbaine denseRésumé : (auteur) In this paper, we tackle the problem of automatic building reconstruction using digital elevation model and cadastral data. We aim at massive production of 3D urban models and present thus an algorithm, that is an adaptation of a more general and semi-automatic strategy to an operational context where robustness is essential. We present two approaches relying on two different techniques for non-vertical planes extraction using constraints inferred by cadastral limits. The first one consists in inferring planar primitives by estimating only two parameters for each building: the height of gutter and the slope of roofs. The other idea is to extract planar primitives directly from the cadastral limits and from the DEM, using a robust RANSAC estimation algorithm. The results of an evaluation carried out on 620 buildings on a dense urban centre are promising and enables to compare both approaches. Numéro de notice : C2006-013 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVI/part3/singlepapers/O_14.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86193 Documents numériques
en open access
Automatic building reconstruction - pdf éditeurAdobe Acrobat PDF A robust algorithm for estimating digital terrain models from digital surface models in dense urban areas / Nicolas Champion (2006)
Titre : A robust algorithm for estimating digital terrain models from digital surface models in dense urban areas Type de document : Article/Communication Auteurs : Nicolas Champion , Auteur ; Didier Boldo , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3 Conférence : PCV 2006, ISPRS - Commission 3 symposium Photogrammetric Computer vision 20/09/2006 22/09/2006 Bonn Allemagne OA ISPRS Archives Importance : pp 111 - 116 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] méthode de réduction d'énergie
[Termes IGN] méthode robuste
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de sursol
[Termes IGN] modèle numérique de terrain
[Termes IGN] zone urbaine denseRésumé : (auteur) This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas. Among all the methods found in literature, the Elastic Grid method shows a good capability to reconstruct the topographic surface. This method consists in interpolating height values under above-ground masks by minimizing an energy. Nevertheless, this method is ill-adapted to outliers in input data (above-ground points out of above-ground masks). The main contribution of our study is the use of a method based on robust statistics in order to reject outliers from calculation so that the nal DTM ts the true topographic surface for the best. For that purpose, the initial Elastic Grid has been noticeably changed. The results of the new method for 2 test sites with a pixel ground size of 20 cm (the rst one is relatively at and the second one is hilly) show the quality of the nal DTM and the robustness of our method. Tests have been carried out with lower resolution DSMs and without any mask and show the feasability of extending the method to a more general context. Numéro de notice : C2006-011 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVI/part3/singlepapers/O_09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86191 A supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery / Laurence Boudet (2006)
Titre : A supervised classification approach towards quality self-diagnosis of 3D building models using digital aerial imagery Type de document : Article/Communication Auteurs : Laurence Boudet , Auteur ; Nicolas Paparoditis , Auteur ; Franck Jung , Auteur ; Gilles Martinoty , Auteur ; Marc Pierrot-Deseilligny , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2006 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3 Conférence : PCV 2006, ISPRS - Commission 3 symposium Photogrammetric Computer vision 20/09/2006 22/09/2006 Bonn Allemagne OA ISPRS Archives Importance : pp 136 - 141 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] bati
[Termes IGN] classification dirigée
[Termes IGN] image aérienne
[Termes IGN] méthode robuste
[Termes IGN] modélisation 3D
[Termes IGN] toit
[Termes IGN] zone urbaine denseRésumé : (auteur) In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new approach to perform a quality self-diagnosis of building models in dense urban areas from high resolution aerial images. Hence, we aim at reliably identifying roof facets that do not comply with quality specifications. The self-diagnosis process will highlight potential incorrect facets for their inspection by a human operator. A set of calibrated aerial images enable us to collect positive or negative evidences of roof facet existence and consistency. A particular attention has been paid to the definition of a set of low-level, complementary, robust and consistent image processing measures. Four quality classes have been defined and are used to classify roof facet quality. A supervised classifier and robust decision rules are then applied to perform an effective self-diagnosis according to the traffic light paradigm. Finally, the work in progress leads to a promising quantitative and qualitative evaluation in the context of dense urban areas. Numéro de notice : C2006-012 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVI/part3/singlepapers/O_13.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86192 Documents numériques
en open access
A supervised classification approach - pdf éditeurAdobe Acrobat PDF Evaluation of 3D city model production from Pleaides-HR satellite images and 3D ground maps / David Flamanc (2005)
Titre : Evaluation of 3D city model production from Pleaides-HR satellite images and 3D ground maps Type de document : Article/Communication Auteurs : David Flamanc , Auteur ; Grégoire Maillet , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2005 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 36-8/W27 Conférence : ISPRS 2005, WG VIII/1, Joint Symposia URBAN - URS 14/03/2005 16/03/2005 Tempe Arizona - Etats-Unis OA ISPRS Archives Importance : 5 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte topographique
[Termes IGN] image optique
[Termes IGN] image Pléiades-HR
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] zone urbaine denseRésumé : (auteur) During the past decades 3D building extraction has been a constant topic of research for several universities and cartographic or photogrammetric institutes because there was a great demand for 3D city models in commercial applications. These applications move from electromagnetic propagation for telecommunication to more demanding simulations for acoustic, urban planning, virtual and augmented reality. In most cases, 3D complete roof shapes are required. Year after year radiometric quality and geometric accuracy of new high resolution satellites keep on improving so much so satellite imagery become a real potential solution for the production of such 3D models. This present paper studies the potential of the CNES (French Spatial Agency) Pleiades-HR system, ready to launch in 2007, for the 3D city models production in the case of 2D ground maps availability. First because this Pleiades-HR system, able to acquire tristereoscopic high-resolution panchromatic images, seems well adapted for 3D applications. Secondly because 2D ground maps are now available in many countries, especially in dense urban areas, and are very useful for the automation of the reconstruction process. For the present evaluation very fine image simulations provided by the CNES are used, in addition to 2D ground plans that come from the French cadastral database. The 3D models have been produced with an operational framework able to reconstruct buildings from optical images and 2D ground plans. A 3D reference has been acquired from aerial images with a resolution of 25cm. This reference allows to evaluate from qualitative and quantitative points of view the 3D reconstruction. Finally, the quality of 3D city models produced from the Pleiades-HR images will be discussed in terms of levels of details, geometric accuracy, exhaustiveness and productivity. Numéro de notice : C2005-038 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/8-W27/flamanc.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100077 Road detection in dense urban areas using SAR imagery and the usefulness of multiple views / Florence Tupin in IEEE Transactions on geoscience and remote sensing, vol 40 n° 11 (November 2002)PermalinkReconstruction 3D de bâtiments à partir de données 2D cadastrales vectorisées et d'images aériennes / Hassan Jibrini (2000)Permalink