Centre de documentation
scientifique

Accuracy of 3D city models: EuroSDR comparison / Harri Kaartinen (2005)  

Public Titre : Accuracy of 3D city models: EuroSDR comparison Type de document : Article/Communication Auteurs : Harri Kaartinen, Auteur ; Juha Hyyppä, Auteur ; Eberhard Gülch, Auteur ; M. George Vosselman, Auteur ; H. Hyyppä, Auteur ; Leena Matikainen, Auteur ; A.D. Hofmann, Auteur ; U. Mäder, Auteur ; A. Persson, Auteur ; U. Söderman, Auteur ; M. Elmqvist, Auteur ; A. Ruiz, Auteur ; M. Dragoja, Auteur ; David Flamanc , Auteur ; Grégoire Maillet , Auteur ; et al., Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2005 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36-3/W19 Conférence : ISPRS 2005, Workshop Laser scanning 12/09/2005 14/09/2005 Enschede Pays-Bas OA Proceedings archives Importance : pp 227 - 232 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] modèle 3D de l'espace urbain [Termes IGN] précision des données Résumé : (auteur) The paper focuses on comparing accuracies obtained with photogrammetry and laser scanning in building extraction and partly compares results obtained with various methods. The objective of the EuroSDR Building Extraction comparison was to evaluate the quality, accuracy, feasibility and economical aspects of semi-automatic building extraction based on photogrammetric techniques with the emphasis on commercial and/or operative systems, semi-automatic and automatic building extraction techniques based on high density laser scanner data and semi-automatic and automatic building extraction techniques based on integration of laser scanner data and aerial images (hybrid technique). The project consists of three test sites by Finnish Geodetic Institute (FGI), namely Senaatti, Hermanni and Espoonlahti and one test site by Institut Geographique National (IGN), namely Amiens. For each test site following data was provided to the partners: aerial images, camera calibration and image orientation information, ground control point coordinates and jpg images of point locations (not for Amiens), laser scanner data and cadastral map vectors of selected buildings. Participants were requested to create the vectors of 3D city models. 3D-models were obtained from 11 participants. Paper confirms with experiments that laser scanning is more suitable in deriving building heights, extracting planar roof faces and ridges of the roof whereas the photogrammetry and aerial images are more suitable in building outline and length determination. CyberCity, Stuttgart and TerraScan (performed by ICC) solutions provided the highest accuracy. There seemed to be a higher variation in the quality of other models depending on test site or remotely sensed information. Numéro de notice : C2005-050 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W19/papers/227.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103460

Hybrid image segmentation using LiDAR 3D planar primitives / Frédéric Bretar (2005)  

Public Titre : Hybrid image segmentation using LiDAR 3D planar primitives Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Michel Roux, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2005 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 36 Conférence : ISPRS 2005, Workshop Laser scanning 12/09/2005 14/09/2005 Enschede Pays-Bas OA Proceedings archives Importance : pp 72 - 78 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] fusion d'images [Termes IGN] Ransac (algorithme) [Termes IGN] segmentation hiérarchique [Termes IGN] semis de points Résumé : (auteur) Airborne laser systems are nowadays well-known to provide regular and accurate altimetric data. The aim of this paper is to investigate the potential of using extracted features from a Lidar 3D point cloud for data fusion purpose through an hybrid image segmentation algorithm. The general context of this study is the building reconstruction. We first describe an efficient algorithm for extracting 3D planar primitives from a laser survey over urban areas. It is based on a normal driven random sample consensus (ND-RANSAC) which consists of randomly selecting sets of three points within laser points sharing the same orientation of normal vectors. A robust plane is then estimated with laser points that are likely to belong to the real roof facet. The number of random draws is managed automatically with a statistical analysis of the distribution of normal vectors within an approximation of the Gaussian sphere of the scene. These 3D facets are then introduced into an image segmentation algorithm based on a bottom-up region merging scheme. Initial regions are computed by a watershed transform onto the gradient of the aerial image. Regions adjacency are represented with a Region Adjacency Graph (RAG). Series of successive merging generates a hierarchy of RAGs where edges are mutual inclusion relationships. The process terminated when the entire image is represented as a single region. A cut in the hierarchy provides a desired image partition. Results of the facet extractions as well as of the segmentation are shown and discussed. Numéro de notice : C2005-047 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/3-W19/papers/072.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102880