Descripteur
Termes IGN > 1-Candidats > semis de points
semis de points
Commentaire :
- Ensemble de points répartis de façon régulière ou quelconque sur une zone géographique donnée. (Glossaire de cartographie / CFC) Ces points peuvent être issus d'images ou de données lidar ...
Synonyme(s)nuage de pointsVoir aussi |
Documents disponibles dans cette catégorie (1083)
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
Automated image-based procedures for accurate artifacts 3D modeling and orthoimage generation / Marc Pierrot-Deseilligny in Geoinformatics FCE CTU, vol 6 (2011)
[article]
Titre : Automated image-based procedures for accurate artifacts 3D modeling and orthoimage generation Type de document : Article/Communication Auteurs : Marc Pierrot-Deseilligny , Auteur ; Livio de Luca, Auteur ; Fabio Remondino, Auteur Année de publication : 2011 Article en page(s) : pp 291 - 299 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] code source libre
[Termes IGN] compensation par faisceaux
[Termes IGN] logiciel de photogrammétrie
[Termes IGN] logiciel libre
[Termes IGN] modèle 3D du site
[Termes IGN] orthoimage
[Termes IGN] semis de pointsMots-clés libres : Tapenade Résumé : (auteur) The accurate 3D documentation of architectures and heritages is getting very common and required in different application contexts. The potentialities of the image-based approach are nowadays very well-known but there is a lack of reliable, precise and flexible solutions, possibly open-source, which could be used for metric and accurate documentation or digital conservation and not only for simple visualization or web-based applications. The article presents a set of photogrammetric tools developed in order to derive accurate 3D point clouds and orthoimages for the digitization of archaeological and architectural objects. The aim is also to distribute free solutions (software, methodologies, guidelines, best practices, etc.) based on 3D surveying and modeling experiences, useful in different application contexts (architecture, excavations, museum collections, heritage documentation, etc.) and according to several representations needs (2D technical documentation, 3D reconstruction, web visualization, etc.). Numéro de notice : A2011-628 Affiliation des auteurs : LOEMI+Ext (1985-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : sans En ligne : https://ojs.cvut.cz/ojs/index.php/gi/article/view/gi.6.36/2521 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96385
in Geoinformatics FCE CTU > vol 6 (2011) . - pp 291 - 299[article]Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR [TIN-Merging and Reshaping] algorithm / J. Rau in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Automatic roof model reconstruction from ALS data and 2D ground plans based on side projection and the TMR [TIN-Merging and Reshaping] algorithm Type de document : Article/Communication Auteurs : J. Rau, Auteur ; B. Lin, Auteur Année de publication : 2011 Article en page(s) : pp 13 - 27 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] fusion de données
[Termes IGN] lasergrammétrie
[Termes IGN] modélisation 3D
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] toit
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) This paper presents an automatic roof model reconstruction method based on the side projection of airborne laser scanning (ALS) data. The proposed approach first detects the building’s primary orientation and decomposes multi-layer roofs into a single one. Then, 3D structural lines are detected and restored from the projected point clouds. Finally, a line-based roof model reconstruction algorithm, namely TIN-Merging and Reshaping (TMR), is proposed. The originality for 3D roof modeling is to perform geometric analysis and topology reconstruction from two 2D projections and then reshapes the roof using elevation information from the 3D structural lines or ALS data. Experimental results indicate a nearly 100% success rate for topology reconstruction can be achieved provided that the 3D structural lines can be enclosed as polygons. However, the success rate of the Reshaping stage is dependent on the complexity of the rooftop structure. With the exception of domed and multiple orientations roofs, which are not considered in the developed method, we achieve success rates around 92–95%. As for absolute accuracy, less that 50 cm of root-mean-square error is observed in all X–Y–Z directions. The results demonstrate that the proposed scheme is robust and accurate even when a group of connected buildings with multiple layers and mixed roof types is processed. Numéro de notice : A2011-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31409
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 13 - 27[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction / R. Beger in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction Type de document : Article/Communication Auteurs : R. Beger, Auteur ; C. Gedrange, Auteur ; Robert Hecht, Auteur ; M. Neubert, Auteur Année de publication : 2011 Article en page(s) : pp 40 - 51 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] axe médian
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données
[Termes IGN] image aérienne
[Termes IGN] lasergrammétrie
[Termes IGN] orthoimage
[Termes IGN] précision des données
[Termes IGN] semis de points
[Termes IGN] voie ferréeRésumé : (Auteur) The quality of remotely sensed data in regards of accuracy and resolution has considerably improved in recent years. Very small objects are detectable by means of imaging and laser scanning, yet there are only few studies to use such data for large scale mapping of railroad infrastructure. In this paper, an approach is presented that integrates extremely high resolution ortho-imagery and dense airborne laser scanning point clouds. These data sets are used to reconstruct railroad track centre lines. A feature level data fusion is carried out in order to combine the advantages of both data sets and to achieve a maximum of accuracy and completeness. The workflow consists of three successive processing steps. First, object-based image analysis is used to derive a railroad track mask from ortho-imagery. This spatial location information is then combined with the height information to classify the laser points. Lastly, the location of railroad track centre lines from these classified points were approximated using a feature extraction method based on an adapted random sample consensus algorithm. This workflow is tested on two railroad sections and was found to deliver very accurate results in a quickly and highly automated manner. Numéro de notice : A2011-517 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31411
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 40 - 51[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Extracting roads from dense point clouds in large scale urban environment / A. Boyko in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Extracting roads from dense point clouds in large scale urban environment Type de document : Article/Communication Auteurs : A. Boyko, Auteur ; T. Funkhouser, Auteur Année de publication : 2011 Article en page(s) : pp 2 - 12 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carte routière
[Termes IGN] centre urbain
[Termes IGN] données lidar
[Termes IGN] extraction du réseau routier
[Termes IGN] représentation cartographique 3D
[Termes IGN] réseau routier
[Termes IGN] semis de points
[Termes IGN] zone urbaineRésumé : (Auteur) This paper describes a method for extracting roads from a large scale unstructured 3D point cloud of an urban environment consisting of many superimposed scans taken at different times. Given a road map and a point cloud, our system automatically separates road surfaces from the rest of the point cloud. Starting with an approximate map of the road network given in the form of 2D intersection locations connected by polylines, we first produce a 3D representation of the map by optimizing Cardinal splines to minimize the distances to points of the cloud under continuity constraints. We then divide the road network into independent patches, making it feasible to process a large point cloud with a small in-memory working set. For each patch, we fit a 2D active contour to an attractor function with peaks at small vertical discontinuities to predict the locations of curbs. Finally, we output a set of labeled points, where points lying within the active contour are tagged as “road” and the others are not. During experiments with a LIDAR point set containing almost a billion points spread over six square kilometers of a city center, our method provides 86% correctness and 94% completeness. Numéro de notice : A2011-514 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.009 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31408
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 2 - 12[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Fast and automatic image-based registration of TLS data / M. Weimann in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Fast and automatic image-based registration of TLS data Type de document : Article/Communication Auteurs : M. Weimann, Auteur ; Stefan Hinz, Auteur ; Boris Jutzi, Auteur Année de publication : 2011 Article en page(s) : pp 62 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données laser
[Termes IGN] données localisées 2D
[Termes IGN] données localisées 3D
[Termes IGN] précision centimétrique
[Termes IGN] Ransac (algorithme)
[Termes IGN] semis de points
[Termes IGN] SIFT (algorithme)
[Termes IGN] superposition d'images
[Termes IGN] traitement d'imageRésumé : (Auteur) The fast and automatic registration of laser scanner data is of great interest in photogrammetric research. Recent developments show that for registration purposes characteristic 3D points can be extracted from the measured laser data, where the data are also represented as image. In this paper, radiometric and geometric information derived from TLS data are utilized for estimating the transformation parameters between two unregistered point clouds. After the extraction of characteristic 2D points based on SIFT features, these points are projected into 3D space by using interpolated range information. From these 3D conjugate points and their corresponding 2D projections onto a virtual plane 3D-to-2D correspondences are established. The fast, accurate and robust RANSAC-based registration scheme including the EPnP algorithm provides a framework to estimate the coarse transformation parameters from these 3D-to-2D correspondences. The coarse estimates are further refined by a single step outlier removal to gain a higher accuracy by introducing additional geometric constraints. These new constraints are based on 3D-to-3D correspondences which are much stronger than the 3D-to-2D correspondences alone. It will be shown that the presented approach is successfully applied to a benchmarked data set with millions of points resulting in a fast and accurate estimation of the transformation parameters with a processing speed of several seconds on a standard PC and an accuracy in the low centimeter range. Numéro de notice : A2011-519 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.09.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.09.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31413
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 62 - 70[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Fusion of camera images and laser scans for wide baseline 3D scene alignment in urban environments / Michael Ying Yang in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)PermalinkLes principes fondamentaux de la lasergrammétrie terrestre : Acquisition, traitement des données et applications (partie 2/2) / Tania Landes in XYZ, n° 129 (décembre - février 2011)PermalinkRecognizing basic structures from mobile laser scanning data for road inventory studies / Shi Pu in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)PermalinkRelevance assessment of full-waveform lidar data for urban area classification / Clément Mallet in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)PermalinkMulti-view dense matching supported by triangular meshes / D. Butalov in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)PermalinkRiding the rails (2) / N. Studnicka in GEO: Geoconnexion international, vol 10 n° 9 (october 2011)PermalinkSurveying buildings: Point clouds and multi-image panoramas / Luigi Colombo in Geoinformatics, vol 14 n° 7 (01/10/2011)PermalinkLes principes fondamentaux de la lasergrammétrie terrestre : Systèmes et caractéristiques (partie 1/2) / Tania Landes in XYZ, n° 128 (septembre - novembre 2011)PermalinkTerrestrial laser scan error in the presence of dense ground vegetation / S. Coveney in Photogrammetric record, vol 26 n° 135 (September - November 2011)Permalinkvol 25 n° 8-9 - august - september 2011 - Data-Intensive Geospatial Computing (Bulletin de International journal of geographical information science IJGIS) / Jiang BinPermalinkScanning geometry: Influencing factor on the quality of terrestrial laser scanning points / S. Soudarissanane in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)PermalinkExpériences de photogrammétrie rapprochée par corrélation épipolaire dense / I. Zeroual in XYZ, n° 127 (juin - août 2011)Permalinkn° 12 - 01/06/2011 - Images et modèles 3D en milieux naturels (Bulletin de Collection EDYTEM. cahiers de géographie) / Laboratoire EDYTEMPermalinkLasergrammétrie terrestre / Tania Landes in Collection EDYTEM. cahiers de géographie, n° 12 (01/06/2011)PermalinkOptimiser la performance de calcul pour la cartographie en temps réel avec un laser scanner aéroporté / Jan Skaloud in Géomatique suisse, vol 109 n° 6 (juin 2011)PermalinkTLS data denoising by range image processing / Eddy Smigiel in Photogrammetric record, vol 26 n° 134 (June - August 2011)PermalinkPoint-cloud preservation plans / L. Teng in GIM international, vol 25 n° 5 (May 2011)PermalinkSmall-footprint Lidar estimations of sagebrush canopy characteristics / J. Mitchell in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 5 (May 2011)PermalinkAutomated detection of branch dimensions in woody skeletons of fruit tree canopies / Alexander Bucksch in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)PermalinkAutomatic reasoning for geometric constraints in 3D city models with uncertain observations / S. Loch-Dehbi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)PermalinkComparaison de PhotoModeler Scanner et David Laserscanner pour l'obtention de nuages de points denses / Emmanuel Alby in XYZ, n° 126 (mars - mai 2011)PermalinkForum PPMD [2011] / Anonyme in Géomatique expert, n° 79 (01/03/2011)PermalinkIncremental segmentation of lidar point clouds with an octree-structured voxel space / M. Wang in Photogrammetric record, vol 26 n° 133 (March - May 2011)PermalinkPermalinkAutomated image-based procedures for accurate artifacts 3D modeling and orthoimage generation / Marc Pierrot-Deseilligny (2011)PermalinkPermalinkConditional random fields for urban scene : Classification with full waveform LiDAR Data / Joachim Niemeyer (2011)PermalinkContributions to the 3D city modeling. 3D polyhedral building model reconstruction from aerial images & 3D facade modeling from terrestrial 3D point cloud and images / Karim Hammoudi (2011)PermalinkPermalinkPermalinkRecalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)PermalinkRelevance of airborne lidar and multispectral image data for urban scene classification using random forests / Li Guo in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)PermalinkOrientation and 3D modelling from markerless terrestrial images : combining accuracy with automation / Luigi Barazzetti in Photogrammetric record, vol 25 n° 132 (December 2010 - February 2011)PermalinkA low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements / Anttoni Jaakkola in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)PermalinkPoint clouds : Lidar versus 3D vision / A. Irschara in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)PermalinkReigning in 3D point clouds with the LAS format / A. Chambers in Geoinformatics, vol 13 n° 7 (01/10/2010)PermalinkA two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters / H. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)PermalinkL'aspect mobile d'un scanner laser terrestre / M. Alshawa in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkBackscatter coefficient as an attribute for the classification of full-waveform airborne laser scanning data in urban areas / C. Alexander in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)PermalinkColorisation et texturation temps réel d'environnements urbains par système mobile avec scanner laser et caméra fish-eye / Jean-Emmanuel Deschaud in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkExtraction automatique des discontinuités planes à partir d'une scannérisation laser 3D en milieu rocheux / Souhail Hajri in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkRecalage de relevés laser fixes et mobiles sur MNS pour la cartographie numérique 3D / T. Ridene in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkTerrestrial laser scanning for use in virtual outcrop geology / S.J. Buckley in Photogrammetric record, vol 25 n° 131 (September - November 2010)PermalinkA unified approach to self-calibration of terrestrial laser scanners / Yuriy Reshetyuk in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)PermalinkUtilisation de données laser à haute résolution pour le suivi d'un objet dynamique : expérimentation sur une nappe caillouteuse torrentielle (La Lampe, Vercors) / Laurent Astrade in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)Permalink