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extraction de traits caractéristiquesSynonyme(s)extraction des caractéristiques extraction de primitiveVoir aussi |
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An improved segmentation approach for planar surfaces from undestructured 3D point clouds / T.M. Awwad in Photogrammetric record, vol 25 n° 129 (March - May 2010)
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Titre : An improved segmentation approach for planar surfaces from undestructured 3D point clouds Type de document : Article/Communication Auteurs : T.M. Awwad, Auteur ; Q. Zhu, Auteur ; Z. Du, Auteur ; Y. Zhang, Auteur Année de publication : 2010 Article en page(s) : pp 5 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] Ransac (algorithme)
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] surface planeRésumé : (Auteur) The extraction of object features from massive unstructured point clouds with different local densities, especially in the presence of random noisy points, is not a trivial task even if that feature is a planar surface. Segmentation is the most important step in the feature extraction process. In practice, most segmentation approaches use geometrical information to segment the 3D point cloud. The features generally include the position of each point (X, Y and Z), locally estimated surface normals and residuals of best fitting surfaces; however, these features could be affected by noisy points and in consequence directly affect the segmentation results. Therefore, massive unstructured and noisy point clouds also lead to bad segmentation (over-segmentation, under-segmentation or no segmentation). While the RANSAC (random sample consensus) algorithm is effective in the presence of noise and outliers, it has two significant disadvantages, namely, its efficiency and the fact that the plane detected by RANSAC may not necessarily belong to the same object surface; that is, spurious surfaces may appear, especially in the case of parallel-gradual planar surfaces such as stairs. The innovative idea proposed in this paper is a modification for the RANSAC algorithm called Seq-NV-RANSAC. This algorithm checks the normal vector (NV) between the existing point clouds and the hypothesised RANSAC plane, which is created by three random points, under an intuitive threshold value. After extracting the first plane, this process is repeated sequentially (Seq) and automatically, until no planar surfaces can be extracted from the remaining points under the existing threshold value. This prevents the extraction of spurious surfaces, brings an improvement in quality to the computed attributes and increases the degree of automation of surface extraction. Thus the best fit is achieved for the real existing surfaces. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2010-060 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2009.00564.x Date de publication en ligne : 11/03/2010 En ligne : https://doi.org/10.1111/j.1477-9730.2009.00564.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30256
in Photogrammetric record > vol 25 n° 129 (March - May 2010) . - pp 5 - 23[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2010011 RAB Revue Centre de documentation En réserve L003 Disponible Segmentation and reconstruction of polyhedral building roofs from aerial lidar points clouds / A. Sampath in IEEE Transactions on geoscience and remote sensing, vol 48 n° 3 Tome 2 (March 2010)
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Titre : Segmentation and reconstruction of polyhedral building roofs from aerial lidar points clouds Type de document : Article/Communication Auteurs : A. Sampath, Auteur ; J. Shan, Auteur Année de publication : 2010 Article en page(s) : pp 1554 - 1567 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de groupement
[Termes IGN] cohérence géométrique
[Termes IGN] détection du bâti
[Termes IGN] diagramme de Voronoï
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] intégrité topologique
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] similitude
[Termes IGN] toitRésumé : (Auteur) This paper presents a solution framework for the segmentation and reconstruction of polyhedral building roofs from aerial LIght Detection And Ranging (lidar) point clouds. The eigenanalysis is first carried out for each roof point of a building within its Voronoi neighborhood. Such analysis not only yields the surface normal for each lidar point but also separates the lidar points into planar and nonplanar ones. In the second step, the surface normals of all planar points are clustered with the fuzzy k-means method. To optimize this clustering process, a potential-based approach is used to estimate the number of clusters, while considering both geometry and topology for the cluster similarity. The final step of segmentation separates the parallel and coplanar segments based on their distances and connectivity, respectively. Building reconstruction starts with forming an adjacency matrix that represents the connectivity of the segmented planar segments. A roof interior vertex is determined by intersecting all planar segments that meet at one point, whereas constraints in the form of vertical walls or boundary are applied to determine the vertices on the building outline. Finally, an extended boundary regularization approach is developed based on multiple parallel and perpendicular line pairs to achieve topologically consistent and geometrically correct building models. This paper describes the detail principles and implementation steps for the aforementioned solution framework. Results of a number of buildings with diverse roof complexities are presented and evaluated. Numéro de notice : A2010-272 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2009.2030180 Date de publication en ligne : 03/11/2009 En ligne : https://doi.org/10.1109/TGRS.2009.2030180 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30466
in IEEE Transactions on geoscience and remote sensing > vol 48 n° 3 Tome 2 (March 2010) . - pp 1554 - 1567[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2010031B RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Airborne and terrestrial laser scanning Type de document : Guide/Manuel Auteurs : M. George Vosselman, Éditeur scientifique ; Hans-Gerd Maas, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2010 Importance : 318 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-1-904445-87-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection du bâti
[Termes IGN] données laser
[Termes IGN] extraction de la végétation
[Termes IGN] modèle numérique de terrain
[Termes IGN] patrimoine culturel
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreIndex. décimale : 33.80 Lasergrammétrie Résumé : (Editeur) Written by a team of international experts, this book provides a comprehensive overview of the major applications of airborne and terrestrial laser scanning. It focuses on principles and methods and presents an integrated treatment of airborne and terrestrial laser scanning technology. After consideration of the technology and processing methods, the book turns to applications, such as engineering, forestry, cultural heritage, extraction of 3D building models, and mobile mapping. This book brings together the various facets of the subject in a coherent text that will be relevant for advanced students, academics and practitioners. Note de contenu : Chapitre 1 - Laser Scanning Technology
Chapitre 2 - Visualisation and Structuring of Point Clouds
Chapitre 3 - Registration and Calibration
Chapitre 4 - Extraction of Digital Terrain Models
Chapitre 5 - Building Extraction
Chapitre 6 - Forestry Applications
Chapitre 7 - Engineering Applications
Chapitre 8 - Cultural Heritage Applications
Chapitre 9 - Mobile MappingNuméro de notice : 20373 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Manuel Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=41782 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20373-01 33.80 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible 20373-02 DEP-TRC Livre LASTIG Dépôt en unité Exclu du prêt Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge / M. Bouziani in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)
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Titre : Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge Type de document : Article/Communication Auteurs : M. Bouziani, Auteur ; Kalifa Goïta, Auteur ; D. He, Auteur Année de publication : 2010 Article en page(s) : pp 143 - 153 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] base de données cartographiques
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] image à très haute résolution
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] milieu urbain
[Termes IGN] Québec (Canada)
[Termes IGN] Rabat (Maroc)Résumé : (Auteur) The updating of geodatabases (GDB) in urban environments is a difficult and expensive task. It may be facilitated by an automatic change detection method. Several methods have been developed for medium and low spatial resolution images. This study proposes a new method for change detection of buildings in urban environments from very high spatial resolution images (VHSR) and using existing digital cartographic data. The proposed methodology is composed of several stages. The existing knowledge on the buildings and the other urban objects are first modelled and saved in a knowledge base. Some change detection rules are defined at this stage. Then, the image is segmented. The parameters of segmentation are computed thanks to the integration between the image and the geodatabase. Thereafter, the segmented image is analyzed using the knowledge base to localize the segments where the change of building is likely to occur. The change detection rules are then applied on these segments to identify the segments that represent the changes of buildings. These changes represent the updates of buildings to be added to the geodatabase. The data used in this research concern the city of Sherbrooke (Quebec, Canada) and the city of Rabat (Morocco). For Sherbrooke, we used an Ikonos image acquired in October 2006 and a GDB at the scale of 1:20,000. For Rabat, a QuickBird image acquired in August 2006 has been used with a GDB at the scale of 1:10,000. The rate of good detection is 90%. The proposed method presents some limitations on the detection of the exact contours of the buildings. It could be improved by including a shape post-analysis of detected buildings. The proposed method could be integrated into a cartographic update process or as a method for the quality assessment of a geodatabase. It could be also be used to identify illegal building work or to monitor urban growth. Numéro de notice : A2010-236 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.10.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.10.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30430
in ISPRS Journal of photogrammetry and remote sensing > vol 65 n° 1 (January - February 2010) . - pp 143 - 153[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2010011 SL Revue Centre de documentation Revues en salle Disponible Change detection in submetric optical images using land cover classification tools / Arnaud Le Bris (2010)
Titre : Change detection in submetric optical images using land cover classification tools Type de document : Article/Communication Auteurs : Arnaud Le Bris , Auteur
Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2010 Conférence : Journées thématiques ORFEO / PLEIADES 2010 26/01/2010 Saint-Mandé France Importance : 74 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] BD Topo
[Termes IGN] classification dirigée
[Termes IGN] détection de changement
[Termes IGN] détection du bâti
[Termes IGN] image Pléiades
[Termes IGN] modèle numérique de surface
[Termes IGN] orthoimage couleur
[Termes IGN] segmentation d'image
[Termes IGN] toit
[Termes IGN] ToulouseNuméro de notice : C2010-034 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90968 PermalinkExtraction et reconstruction des bâtiments en milieu urbain à partir d’images satellitaires optiques et radar à haute résolution / Hélène Sportouche (2010)
PermalinkFusion d'images optique et radar à haute résolution pour la mise à jour de bases de données cartographiques / Vincent Poulain (2010)
PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkContribution of airborne full-waveform Lidar and image data for urban scene classification / Nesrine Chehata (07/11/2009)
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PermalinkA geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial images / Olivier Tournaire in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)
PermalinkAutomated extraction of buildings from Ikonos imagery by integrating spectral and spatial information / X. Wang in Geomatica, vol 63 n° 3 (September 2009)
PermalinkRapid mapping of high resolution SAR scenes / F. Dell'acqua in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)
PermalinkStereo analysis of high-resolution SAR images for building height estimation in cases of orthogonal aspect directions / Uwe Soergel in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)
PermalinkObservations of urban and suburban environments with global satellite scatterometer data / Son V. Nghiem in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 4 (July - August 2009)
PermalinkAutomatic and accurate extraction of road intersections from raster maps / Yao-Yi Chiang in Geoinformatica, vol 13 n° 2 (June 2009)
PermalinkFusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas / C. Mariz in International Journal of Remote Sensing IJRS, vol 30 n°11-12 (June 2009)
PermalinkA region-based level set segmentation for automatic detection of man-made objects from aerial and satellite Images / K. Karatzalos in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)
PermalinkPermalinkA hybrid measurement approach for close-range photogrammetry / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 3 (May - June 2009)
PermalinkMorphology-based building detection from airborne Lidar data / X. Meng in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 4 (April 2009)
PermalinkUrban area and building detection using SIFT: Keypoints and Graph Theory / B. Simarcek in IEEE Transactions on geoscience and remote sensing, vol 47 n° 4 (April 2009)
PermalinkAn adaptive approach to topographic feature extraction from Digital Terrain Models / Y. Song in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)
PermalinkMorphologie urbaine et réseau : Etude des discontinuités et des ruptures induites par le réseau de circulation à l'aide du modèle Remus / Dominique Badariotti in Revue internationale de géomatique, vol 19 n° 1 (mars – mai 2009)
PermalinkReconstruction of complex shape building from LIDAR data using free forms surfaces / N.A. Akel in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 3 (March 2009)
PermalinkUnsing spatial continuity and discontinuity information to retrieve geographic entities / Z. Xie in Geocarto international, vol 24 n° 1 (February - March 2009)
PermalinkAn unsupervised hierarchical segmentation of a facade building image in elementary 2D-models / Jean-Pascal Burochin (2009)
PermalinkAutomatic revision of 2D building databases from high resolution satellite imagery : a 3D photogrammetric approach / Nicolas Champion (2009)
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PermalinkCMRT09 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)
PermalinkDétection et caractérisation de la végétation en milieu urbain à partir d'images aériennes haute résolution / Corina Iovan (2009)
PermalinkDetection of unregistered buildings for updating 2D databases / European Spatial Data Research EuroSDR (2009)
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PermalinkExtracting 3D polyhedral building models from aerial images using a featureless and direct approach / Fadi Dornaika (2009)
PermalinkExtracting building footprint from 3D point clouds using terrestrial laser scanning at street level / Karim Hammoudi (2009)
PermalinkExtracting composite cartographic area features in low-quality maps / S. Leyk in Cartography and Geographic Information Science, vol 36 n° 1 (January 2009)
PermalinkPermalinkProceedings of MVA 2009, IAPR Conference on Machine vision Applications, May 20-22, 2009, Keio University, Japan / Hideo Saito (2009)
PermalinkRoad extraction for hazard management / Stefan Hinz in GIM international, vol 23 n° 1 (January 2009)
PermalinkTopographic laser ranging and scanning, ch 14. Feature extraction from lidar data in urban areas / Frédéric Bretar (2009)
PermalinkClassification of very high spatial resolution imagery based on the fusion of edge and multispectral information / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)
PermalinkLength-preserving thinning algorithm for line extraction from land cover data / J. Choi in Cartographica, vol 43 n° 4 (December 2008)
PermalinkRoad junction extraction from high-resolution aerial imagery / M. Ravanbakhsh in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)
PermalinkA Polygonal approach for automation in extraction of serial modular roofs / Y. Avrahami in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)
PermalinkUsing a binary space partitioning tree for reconstructing polyhedral building models from airborne Lidar data / Gunho Sohn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)
PermalinkAspects of generating precise digital terrain models in the Wadden Sea from lidar-water classification and structure line extraction / A. Brzank in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 5 (September - October 2008)
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