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Generation and dissemination of a national virtual 3D city and landscape model for the Netherlands / Sander J. Elberink in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)
[article]
Titre : Generation and dissemination of a national virtual 3D city and landscape model for the Netherlands Type de document : Article/Communication Auteurs : Sander J. Elberink, Auteur ; Jantien E. Stoter, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 147 - 158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger
[Termes IGN] base de données localisées 3D
[Termes IGN] base de données orientée objet
[Termes IGN] base de données topographiques
[Termes IGN] données lidar
[Termes IGN] données localisées 2D
[Termes IGN] données localisées 3D
[Termes IGN] données localisées de référence
[Termes IGN] données vectorielles
[Termes IGN] fusion de données
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modèle numérique de paysage
[Termes IGN] Pays-Bas
[Termes IGN] programmation par contraintesRésumé : (Auteur) This paper describes the generation and dissemination of a national three-dimensional (3D) dataset representing the virtual and landscape model. The 3D model is produced automatically by fusing a two-dimensional (2D) national object-oriented database describing the physical landscape and the national high-resolution height model of the Netherlands. Semantic constraints are introduced to correctly model 3D objects. Three areas from different regions in the Netherlands have been processed in order to develop, improve, and test the automatic generation of a national 3D city and landscape model. Specific attention has been paid to exceptional cases that may occur in a nationwide dataset. Based on the test results, the Kadaster, the national agency in the Netherlands responsible for the production of nation wide geo-information, decided that it is feasible to produce a national 3D city and landscape model that fulfills the specifications that were defined as part of this study. Future research is identified to make the results further ready for practice. Numéro de notice : A2013-076 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14358/PERS.79.2.147 En ligne : https://doi.org/10.14358/PERS.79.2.147 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32214
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 2 (February 2013) . - pp 147 - 158[article]Ground filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
[article]
Titre : Ground filtering and vegetation mapping using multi-return terrestrial laser scanning Type de document : Article/Communication Auteurs : Francesco Pirotti, Auteur ; A. Guarnieri, Auteur ; Antonio Vettore, Auteur Année de publication : 2013 Article en page(s) : pp 56 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] densité de la végétation
[Termes IGN] densité des points
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtrage de points
[Termes IGN] hauteur de la végétation
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique de terrain
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Discriminating laser scanner data points belonging to ground from points above-ground (vegetation or buildings) is a key issue in research. Methods for filtering points into ground and non-ground classes have been widely studied mostly on datasets derived from airborne laser scanners, less so for terrestrial laser scanners. Recent developments in terrestrial laser sensors (longer ranges, faster acquisition and multiple return echoes) has aroused greater interest for surface modelling applications. The downside of TLS is that a typical dataset has high variability in point density, with evident side-effects on processing methods and CPU-time. In this work we use a scan dataset from a sensor which returns multiple target echoes, in this case providing more than 70 million points on our study site. The area presents low, medium and high vegetation, undergrowth with varying density, as well as bare ground with varying morphology (i.e. very steep slopes as well as flat areas). We test an integrated work-flow for defining a terrain and surface model (DTM and DSM) and successively for extracting information on vegetation density and height distribution on such a complex environment. Attention was given to efficiency and speed of processing. The method consists on a first step which subsets the original points to define ground candidates by taking into account the ordinal return number and the amplitude. A custom progressive morphological filter (opening operation) is applied next, on ground candidate points using a multidimensional grid to account for the fallout in point density as a function of distance from scanner. Vegetation density mapping over the area is then estimated using a weighted ratio of point counts in the tri-dimensional space over each cell. The overall result is a pipeline for processing TLS points clouds with minimal user interaction, producing a Digital Terrain Model (DTM), a Digital Surface Model (DSM), a vegetation density map and a derived Canopy Height Model (CHM). These products are of high importance for many applications ranging from forestry to hydrology and geomorphology. Numéro de notice : A2013-092 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.08.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.08.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32230
in ISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 56 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Meet Dr Johannes Riegl / P. Ftizgibbon in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)
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Titre : Meet Dr Johannes Riegl Type de document : Article/Communication Auteurs : P. Ftizgibbon, Auteur Année de publication : 2013 Article en page(s) : pp 20 - 21 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] instrumentation Riegl
[Termes IGN] télémètre laser aéroporté
[Termes IGN] télémètre laser terrestreRésumé : (Auteur) At the Intergeo 2012 conference and trade fair in Hannover, Germany, Geoconnexion's Peter Fitzgibbon interviewed Dr Johannes Riegl, the founder and chief executive officer of Riegl laser measurements systems GMBH. Numéro de notice : A2013-085 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32223
in GEO: Geoconnexion international > vol 12 n° 2 (february 2013) . - pp 20 - 21[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-2013021 SL Revue Centre de documentation Revues en salle Disponible One billion points in the cloud – an octree for efficient processing of 3D laser scans / Jan Elseberg in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)
[article]
Titre : One billion points in the cloud – an octree for efficient processing of 3D laser scans Type de document : Article/Communication Auteurs : Jan Elseberg, Auteur ; D. Borrmann, Auteur ; Andreas Nüchter, Auteur Année de publication : 2013 Article en page(s) : pp 76 - 88 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] architecture pipeline (processeur)
[Termes IGN] compression de données
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] format d'échange
[Termes IGN] modélisation 3D
[Termes IGN] octree
[Termes IGN] précision des données
[Termes IGN] semis de points
[Termes IGN] traitement de données
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Automated 3-dimensional modeling pipelines include 3D scanning, registration, data abstraction, and visualization. All steps in such a pipeline require the processing of a massive amount of 3D data, due to the ability of current 3D scanners to sample environments with a high density. The increasing sampling rates make it easy to acquire billions of spatial data points. This paper presents algorithms and data structures for handling these data. We propose an efficient octree to store and compress 3D data without loss of precision. We demonstrate its usage for an exchange file format, fast point cloud visualization, sped-up 3D scan matching, and shape detection algorithms. We evaluate our approach using typical terrestrial laser scans. Numéro de notice : A2013-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.10.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.10.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32232
in ISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 76 - 88[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Retrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning / G. Zheng in IEEE Transactions on geoscience and remote sensing, vol 51 n° 2 (February 2013)
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Titre : Retrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning Type de document : Article/Communication Auteurs : G. Zheng, Auteur ; L. Moskal, Auteur ; S.H. Kim, Auteur Année de publication : 2013 Article en page(s) : pp 777 - 787 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] image hémisphérique
[Termes IGN] Leaf Area Index
[Termes IGN] projection azimutale équivalente de lambert
[Termes IGN] projection stéréographique
[Termes IGN] rastérisation
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Terrestrial laser scanner (TLS)-based leaf area index (LAI) retrieval is an appealing concept, due to the ability to capture structural information of canopies as 3D point cloud data (PCD). TLS-based LAI estimation methods promise a nondestructive tool for spatially explicit calibration of LAI estimated by aerial or satellite remote sensing techniques. These methods also overcome the sky condition restrictions of on-ground optical instruments such as hemispherical photography frequently used for LAI estimation. This paper presents a new method for estimating the effective LAI (LAIe) directly from PCD generated by TLS in heterogeneous forests. We converted the 3-D PCD into 2-D raster images, similar to hemispherical photographs, using two geometrical projection techniques in order to estimate gap fraction and LAIe using a linear least squares method. Our results indicated that the TLS-based algorithm was able to capture the variability in LAIe of forest stands with a range of densities. The TLS-based LAIe estimation method explained 89.1% (rmse = 0.01 ; p Numéro de notice : A2013-080 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2205003 En ligne : https://doi.org/10.1109/TGRS.2012.2205003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32218
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 2 (February 2013) . - pp 777 - 787[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Segmentation of terrestrial laser scanning data using geometry and image information / S. Barnea in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)Permalinkvol 79 n° 2 - February 2013 - Special issue : Three-dimensional national landscape mapping (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensingPermalinkA 3D geospatial registration service for street level co-visualization of 2D vector maps / Quoc-Dinh Nguyen (2013)PermalinkPermalinkPermalinkCalibration extrinsèque d'un scanner laser multi-fibre / Anthony Wiart (2013)PermalinkPermalinkPermalinkComputer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey / L. Wang in Geoinformatica, vol 17 n° 1 (January 2013)PermalinkPermalink