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International Society for Photogrammetry and Remote Sensing ISPRS
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Extracting wire-frame models of street facades from 3D point clouds and the corresponding cadastral map / Karim Hammoudi (2010)
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : Extracting wire-frame models of street facades from 3D point clouds and the corresponding cadastral map Type de document : Article/Communication Auteurs : Karim Hammoudi , Auteur ; Fadi Dornaika , Auteur ; Bahman Soheilian , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3A Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 91 - 96 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] façade
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] photogrammétrie terrestre
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] texturageRésumé : (Auteur) This paper presents an operational approach for extracting wire-frame models of street facades. Georeferenced terrestrial laser rawdata are acquired by a Mobile Mapping System (MMS). The MMS constitutes an adapted tool to massively collect accurate data at street level. After a filtering step of the 3D raw point cloud of street, the street point cloud is segmented into a cloud of dominant facade walls. Piecewise quasi-planar facade cloud are then extracted using an adapted Progressive Probabilistic Hough Transform (PPHT). At the planimetric level, a cadastral map issue from an urban database is employed to segment the cloud of planar clusters into residential facade portion. Finally, each portion is vertically delimited using heuristic approaches. The adapted PPHT allows the automatic modeling of facade outlines with a fine facade line detection and a low computation time. The adapted approach has been tested on a set of point clouds acquired in the city of Paris under real conditions. Examples and experimental results show the efficiency of the proposed approach. Numéro de notice : C2010-002 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/91_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65057 Extraction of vertical posts in 3D laser point clouds acquired in dense urban areas by a mobile mapping system / Sterenn Liberge (2010)
contenu dans Photogrammetric computer vision and image analysis: ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 2. Papers accepted on the basis of abstracts / Nicolas Paparoditis (2010)
Titre : Extraction of vertical posts in 3D laser point clouds acquired in dense urban areas by a mobile mapping system Type de document : Article/Communication Auteurs : Sterenn Liberge, Auteur ; Bahman Soheilian , Auteur ; Nesrine Chehata , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-3B Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 126 - 130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] arbre de décision
[Termes IGN] extraction automatique
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) This paper focuses on extracting vertical objects from 3D terrestrial point clouds, acquired in dense urban scenes. We are especially interested in urban vertical posts whose inventory is useful for many applications such as urban mapping, virtual tourism or localization. The proposed methodology is based on two steps. The first is a focalization step providing hypothetical candidates consisting of vertical features. The second step validates or rejects these candidates. In the case of validation, the features are classified according to the posts pattern library. The extraction of vertical objects is processed by projecting the point cloud in a horizontal plan. The accumulation density, the minimal and maximal heights are used to filter out ground points, tree leaves and to solve acquisition problems such as a region multiscans. After filtering step, the accumulation image is updated. Connex regions correspond to the vertical objects. These candidates are then validated regarding the posts pattern library. An analysis of the 3D vertical point distribution is processed. To do that, each region is characterized by its eigenvalues and eigenvectors based on a Principal Component Analysis in 3D space. The classification is processed by a decision tree algorithm. Results are presented on large and various datasets acquired under real conditions in a dense urban area. A global accuracy of 84 % is reached. Numéro de notice : C2010-006 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/b/pdf/126_XXXVIII-part3B.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65061 Forest object-oriented classification with customized and automatic attribute selection / Olivier de Joinville (2010)
Titre : Forest object-oriented classification with customized and automatic attribute selection Type de document : Article/Communication Auteurs : Olivier de Joinville , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 38-8 Conférence : ISPRS 2010, Technical Commission 8 Symposium, Networking the World with Remote Sensing 02/08/2010 12/08/2010 Kyoto Japon ISPRS OA Archives Commission 8 Importance : pp 669 - 674 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification barycentrique
[Termes IGN] classification orientée objet
[Termes IGN] composition colorée
[Termes IGN] forêt domaniale
[Termes IGN] image SPOT
[Termes IGN] matrice de confusion
[Termes IGN] segmentation d'image
[Termes IGN] Somme (80)Résumé : (auteur) This paper presents a semi-automatic method to optimize object-oriented classification without photointerpretation. The thematic studied is the forest (Crecy forest in the north of France). A SPOT 2 image at 20 m spatial resolution was analysed in a near infrared colour composite (green, red and infrared). New classification methods no longer work with pixels, but with regions derived from the previously segmented image [TRIAS 2006], [BENCHERIF 2009].The first step consists in image segmentation based on several criteria, a scale parameter and an homogeneity factor made up of two complementary factors: shape and radiometry. Two segmentations have been computed: one at very large scale (no more than 20 regions) in order to establish a manually made classification with only 2 classes: forest and no forest (this latter will not be classified). Another one at a smaller scale which will be used to select the test samples (also called training area) on the forest area. Once both segmentations and manual classification are completed and validated (essentially visually), the objective of this study is to determine semi automatically the most adapted attributes for each training area (5 training areas have been selected). Therefore, for all selected training areas, attributes are automatically selected, consecutively based on three criteria: radiometry, shape and texture. For each of these criteria, a maximum number of attributes is fixed among all potentially interesting attributes and the optimum attribute combination is automatically selected with respect to a statistical parameter derived from a distance matrix. The distance matrix optimizes the separation between the training areas. Then, 3 classifications were set up, each of them with the optimum automatically selected attribute combination derived from the previous step. For each of these classifications, a confusion matrix will be computed. For each training area its confusion rate with other training areas was computed and the lowest confusion rate was selected as the criterion. For instance, if there is a training area which has 35 % of confusion pixels with other classes for a radiometric combination, 25% for a textural combination and 5 % for a morphologic one (shape criterion), this training area will be affected with a morphologic attribute combination. The result is thus a new classification with the new customized attributes for each training area. In the assessment of this classification, the confusion rate for each class decreases significantly. Then, reliability maps are built to determine the risk of confusion between the classes. Test results are so far encouraging. Due to this new method, the confusion rates decrease significantly with respect to a standard nearest neighbour approach. Numéro de notice : C2010-032 Affiliation des auteurs : ENSG (1941-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.isprs.org/proceedings/XXXVIII/part8/pdf/W07P02_20100218000017.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90642 Documents numériques
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Forest object-oriented classification ... - pdf éditeurAdobe Acrobat PDF Formalization and data enrichment for automated evaluation of building pattern preservation / Xiang Zhang (2010)
Titre : Formalization and data enrichment for automated evaluation of building pattern preservation Type de document : Article/Communication Auteurs : Xiang Zhang, Auteur ; Jantien E. Stoter, Auteur ; Tinghua Ai, Auteur ; Menno-Jan Kraak, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Conférence : ISPRS 2010, Commission 2, Joint International Conference on Theory, Data Handling and Modelling 26/05/2010 28/05/2010 Hong Kong Hong Kong OA ISPRS Archives Importance : 6 p. Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] évaluation des données
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] lisibilité perceptive
[Termes IGN] modèle géométrique du bâti
[Termes IGN] programmation par contraintesRésumé : (auteur) Automated evaluation of generalization output relies to a large extent on that requirements (e.g. specifications, constraints) being formalized in machine-readable formats. Previous studies suggest that the formalization and automated evaluation are relatively easier for legibility constraints (improve the readability of maps) than for preservation constraints (preserving important real-world phenomena). Three major difficulties, i.e., pattern classification and characterization, pattern matching, and constraint formalization, in the automated evaluation of building pattern preservation constraint are analyzed in this paper. A classification of available building patterns is reviewed based on a previous work. In addition, the transition events describing allowed changes for building patterns to preserve during generalization are obtained through the study of existing maps series (from 1:10k to 1:100k). Based on the obtained knowledge on pattern types and acceptable transition events, an approach to automatically match corresponding building patterns at different scales is presented. The methodology proposed is validated by applying it to the interactively generalized data. The result shows promising results and also further improvement in order to apply the method in an overall evaluation to indicate acceptable generalization solutions. Numéro de notice : 14813 Affiliation des auteurs : non IGN Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part2/Papers/12_Paper.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73993 Documents numériques
en open access
14813 Formalization and data enrichmentAdobe Acrobat PDF A formulation for unsupervised hierarchical segmentation of facade images with periodic models / Jean-Pascal Burochin (2010)
contenu dans Photogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)
Titre : A formulation for unsupervised hierarchical segmentation of facade images with periodic models Type de document : Article/Communication Auteurs : Jean-Pascal Burochin , Auteur ; Bruno Vallet , Auteur ; Olivier Tournaire , Auteur ; Nicolas Paparoditis , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2010 Conférence : PCV 2010, ISPRS - Commission 3 symposium Photogrammetric computer vision and image analysis 01/09/2010 03/09/2010 Saint-Mandé France ISPRS OA Archives Importance : pp 227 - 232 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] alignement
[Termes IGN] appariement de modèles conceptuels de données
[Termes IGN] corrélation à l'aide de traits caractéristiques
[Termes IGN] façade
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation d'imageRésumé : (Auteur) We introduce an unsupervised segmentation method to build a hierarchical representation of a building facade from a single calibrated street level image. The process recursively splits horizontally or vertically the rectified image along dominant alignments until the radiometric content of the region hypothesis corresponds to a given model. This paper propose two main novelties: first we describe an advanced split energy formulation to separate dominant alignments breaks. Then we introduce a model that express periodicity in facade texture. This segmentation could be an interesting tool for facade modeling and is in particular well suited for facade texture compression. Numéro de notice : C2010-004 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/227_XXXVIII-part3A.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65059 ISPRS Technical commission 7 symposium, 100 years ISPRS, Advancing Remote Sensing Science, July 5-7, 2010, Vienna, Austria, Part B. Papers accepted on the basis of peer-reviewed abstracts / Wolfgang Wagner (2010)PermalinkISPRS Technical commission 7 symposium, 100 years ISPRS, Advancing Remote Sensing Science, July 5-7, 2010, Vienna, Austria, Part A. Papers accepted on the basis of peer-reviewed full manuscripts / Wolfgang Wagner (2010)PermalinkMatching terrestrial images captured by a nomad system to images of a reference database for pose estimation purpose / Arnaud Le Bris (2010)PermalinkModelling three-dimensional geoscientific datasets with the discrete Voronoi diagram / T. Van Der Putte (2010)PermalinkMotion blur detection in aerial images shot with channel-dependent exposure time / Lâmân Lelégard (2010)PermalinkPermalinkPhotogrammetric computer vision and image analysis, ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 1. Papers accepted on the basis of peer-reviewed full manuscripts / Nicolas Paparoditis (2010)PermalinkPhotogrammetric computer vision and image analysis: ISPRS Commission 3 symposium, Saint-Mandé, 1-3 septembre 2010, volume 2. Papers accepted on the basis of abstracts / Nicolas Paparoditis (2010)PermalinkUpdating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D / Emilie Le Hir (2010)PermalinkPermalink3D builbing reconstruction from lidar based on a cell decomposition approach / Martin Kada (01/12/2009)PermalinkAirborne lidar feature selection for urban classification using random forests / Nesrine Chehata (2009)PermalinkAn unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)PermalinkBuilding footprint database improvement for 3D reconstruction : a direction aware split and merge approach / Bruno Vallet (2009)PermalinkCircular road sign extraction from street level images using colour, shape and texture database maps / Aurore Arlicot (2009)PermalinkPermalinkCMRT09, Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)PermalinkCMRT09 Object extraction for 3D city models, road databases and traffic monitoring-concepts, algorithms and evaluation / Uwe Stilla (2009)PermalinkDetection of buildings at airport sites using images and lidar data and a combination of various methods / N. Demir (2009)PermalinkExtracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)Permalink