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Titre : Library concept and design for lidar data processing Type de document : Article/Communication Auteurs : Nicolas David , Auteur ; Clément Mallet , Auteur ; Frédéric Bretar, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2008 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-4/C1 Conférence : GEOBIA 2008, international conference on geographic object-based image analysis, Pixels, Objects, Intelligence GEOgraphic Object Based Image Analysis for the 21st Century 05/08/2008 08/08/2008 Calgary Alberta - Canada Open Access Proceedings Importance : 6 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] topologie capteur
[Termes IGN] UMLRésumé : (auteur) Airborne Laser Scanning (ALS) is nowadays a very popular technology providing accurate altimetric data for remote sensing andmapping purposes. Therefore, many algorithms have been developed so far to process these data, depending on the application. Nevertheless, for researchers, it is still a challenging task to handle large amount of heterogeneous data and adapt them for their specificaim and processes. This paper reports the thoughts and the strategy developed by the MATIS laboratory of the Institut Ǵeographique National (IGN) about an efficient lidar library design in order to tackle these issues. The specification of an efficient and versatile lidar file format is first discussed. The standard and current lidar file formats are first reviewed and a new one, dedicated to raw data processing with high feature modularity is presented. Besides, existing code components and libraries are reviewed with regard to their compatibility for research development. Modularity, availability and license conditions are here the main selection criteria. Then, differents strategies for large data set handling are summarized and extended by a new solution, both based on lidar strip and raw sensor topology. These workflows are illustrated through a UML activity diagram dedicated to 2D spatial query. Finally, the current status of the implementation of this federative software as well as the perspectives of development are sketched. Numéro de notice : C2008-021 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/4-C1/Sessions/Session2/6703_David_Proc [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94304
Titre : Lidar data classification using hierarchical K-means clustering Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Nicolas David , Auteur ; Nesrine Chehata , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2008 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 37-B3 Conférence : ISPRS 2008, 21st ISPRS world congress 03/07/2008 11/07/2008 Pékin Chine OA ISPRS Archives Importance : pp 325 - 330 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse de groupement
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtrage de points
[Termes IGN] modèle numérique de terrain
[Termes IGN] pente
[Termes IGN] semis de pointsRésumé : (Auteur) This paper deals with lidar point cloud filtering and classification for modelling the Terrain and more generally for scene segmentation. In this study, we propose to use the well-known K-means clustering algorithm that filters and segments (point cloud) data. The K-means clustering is well adapted to lidar data processing, since different feature attributes can be used depending on the desired classes. Attributes may be geometric or textural when processing only 3D-point cloud but also spectral in case of joint use of optical images and lidar data. The algorithm is based on a fixed neighbourhood size that can deal with steep relief covered by dense vegetation, mountainous area and terrains which present micro-relieves. The novelty of our algorithm consists in providing a hierarchical splitting clustering to extract ground points. The number of cluster splits is used to qualify automatically the classification reliability. This point is rarely treated in previous works. Moreover landscape predictors such as slope map are used to locally refine the classification. Finally, the methodology is extended to a multi-scale framework. The hierarchical clustering is processed from coarse DTM resolution to finer one. This implementation improves the algorithm robustness and ensures reliable ground estimation. Quantitative and qualitative results are presented on the ISPRS data set. Numéro de notice : 10664 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVII/congress/3b_pdf/65.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64215 Documents numériques
en open access
10664_isprs_2008_chehata.pdfAdobe Acrobat PDF Managing full waveform Lidar data : a challenging task for the forthcoming years / Frédéric Bretar (2008)
Titre : Managing full waveform Lidar data : a challenging task for the forthcoming years Type de document : Article/Communication Auteurs : Frédéric Bretar, Auteur ; Adrien Chauve , Auteur ; Boris Jutzi, Auteur ; Clément Mallet , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2008 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 37-B1 Conférence : ISPRS 2008, 21st ISPRS world congress 03/07/2008 11/07/2008 Pékin Chine OA ISPRS Archives Importance : pp 85 - 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] lidar à retour d'onde complète
[Termes IGN] traitement de données localiséesRésumé : (Auteur) This paper proposes to summarize researches and new advances in full waveform lidar data. After a description of full waveform lidar systems, we will review different methodologies developed to process the waveforms (modelling, correlation, stacking). Applications on urban and vegetated areas are then presented. The paper ends up with recommendations on future research themes. Numéro de notice : 10666 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVII/congress/1_pdf/69.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64217 Documents numériques
en open access
10666_isprs_2008_bretar.pdfAdobe Acrobat PDF A method for automated registration of unorganised point clouds / K. Bae in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 1 (January - February 2008)
[article]
Titre : A method for automated registration of unorganised point clouds Type de document : Article/Communication Auteurs : K. Bae, Auteur ; Derek D. Lichti, Auteur Année de publication : 2008 Article en page(s) : pp 36 - 54 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] données laser
[Termes IGN] lasergrammétrie
[Termes IGN] primitive géométrique
[Termes IGN] semis de points
[Termes IGN] surveillance d'ouvrage
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) A registration method for unorganised point cloud datasets, the Geometric Primitive ICP with the RANSAC (GP-ICPR), which uses geometric primitives, neighbourhood search and the positional uncertainty of laser scanners is proposed. The change of geometric curvature and approximate normal vector of the surface formed by a point and its neighbourhood are used to search for possible corresponding points. The GP-ICPR was tested with terrestrial laser scanner datasets in terms of its precision and accuracy. It is shown that the GP-ICPR improved the precision of the estimated relative transformation parameters by as much as a factor of 5, which provides a window of opportunity to utilise this automated registration method in practical applications such as terrestrial surveying and deformation monitoring. Copyright ISPRS Numéro de notice : A2008-039 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29034
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Titre : Mise en oeuvre du Lidar aéroporté à l'IGN : projet Litto3D-IGN Type de document : Article/Communication Auteurs : David Flamanc , Auteur Editeur : Saint-Mandé : Institut Géographique National - IGN (2008-2011) Année de publication : 2008 Conférence : Journée Projets de l'IGN 2008 03/06/2008 11/07/2008 Saint-Mandé France OA ISPRS Archives Importance : 6 p. Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] chaîne de production
[Termes IGN] données lidar
[Termes IGN] lasergrammétrie
[Termes IGN] Lidar
[Termes IGN] Litto3DNuméro de notice : 13776 Affiliation des auteurs : IGN (1940-2011) Thématique : IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64274 Documents numériques
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projet Litto3D-IGN - pdf auteurAdobe Acrobat PDF La télédétection au service de la forêt / Françoise de Blomac in SIG la lettre, n° 93 (janvier 2008)PermalinkTerrain modeling from lidar data: Hierarchical K-means filtering and Markovian regularization / Nesrine Chehata (2008)PermalinkDevelopment of a simulation model to predict Lidar interception in forested environments / N.R. Goodwin in Remote sensing of environment, vol 111 n° 4 (28/12/2007)PermalinkImproving river flood extent delineation from synthetic aperture radar using airborne laser altimetry / D.C. Mason in IEEE Transactions on geoscience and remote sensing, vol 45 n° 12 Tome 1 (December 2007)PermalinkLe lidar topographique à retour d'onde complète: Etat de l'art / Clément Mallet in Traitement du signal, vol 24 n° 6 (01/12/2007)PermalinkOrthogonal polynomials supported by regional growing segmentation for the extraction of terrain from lidar data / N.A. Akel in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkOrthophoto generation from unorganized point clouds / L. Tournas in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkClassification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data / G.W. Geerling in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkCharacterizing patterns of plant distribution in a southern California salt marsh using remotely sensed topographic and hyperspectral data and local tidal fluctuations / S. Sadro in Remote sensing of environment, vol 110 n° 2 (28/09/2007)PermalinkReprésentation 3D architecturale du temple d'Auguste et Livie à Vienne (Isère) / C. Ravier in XYZ, n° 112 (septembre - novembre 2007)Permalink