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OpenBIM framework for a collaborative historic preservation system / Shawn E. O'Keeffe in International journal of 3-D information modeling, vol 5 n° 4 (October - December 2016)
[article]
Titre : OpenBIM framework for a collaborative historic preservation system Type de document : Article/Communication Auteurs : Shawn E. O'Keeffe, Auteur Année de publication : 2016 Article en page(s) : pp 1 - 11 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] application web
[Termes IGN] CityGML
[Termes IGN] code source libre
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] format d'échange
[Termes IGN] format Industry foudation classes IFC
[Termes IGN] logiciel libre
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] monde virtuel
[Termes IGN] monument historique
[Termes IGN] préservation
[Termes IGN] surveillance d'ouvrage
[Termes IGN] système d'information géographique
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) The authors have developed a novel system framework for a historic preservation system utilising open standards and open source tools. The framework enables the integration of open standard 3D models and GIS in a virtual environment (VE). It also allows the storage and harvesting of data via an open source web-based central repository. The framework is designed for bi-directional interoperability when utilised for monument tracking, preservation, conservation, re-excavation, etc. To date, no such system framework exists for the development and management of historic monuments using open standards e57 for terrestrial laser scanning (TLS) data, the industry foundation classes (IFC) for 3D semantic rich models, and CityGML for integrating IFC and GIS in a VE. The web-based VE is accessed from the BimServer and envisaged for monitoring monument erosion, movement, and damage to monuments by human activity or nature, collaboration between different industry actors to share knowledge, experience, and expertise globally, etc. Numéro de notice : A2016--162 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.4018/IJ3DIM.2016100101 En ligne : https://doi.org/10.4018/IJ3DIM.2016100101 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85915
in International journal of 3-D information modeling > vol 5 n° 4 (October - December 2016) . - pp 1 - 11[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 138-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Boresight and lever arm calibration of a mobile terrestrial Lidar system / M. Leslar in Geomatica, vol 70 n° 2 (June 2016)
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Titre : Boresight and lever arm calibration of a mobile terrestrial Lidar system Type de document : Article/Communication Auteurs : M. Leslar, Auteur ; J.G. Wang, Auteur ; B. Hu, Auteur Année de publication : 2016 Article en page(s) : pp 97 - 112 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] acquisition de données
[Termes IGN] acquisition simultanée
[Termes IGN] angle de visée
[Termes IGN] données lidar
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] point d'appui
[Termes IGN] surface plane
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) Unlike Mobile Airborne LiDAR (MAL), it has become common for Mobile Terrestrial LiDAR (MTL) systems to consist of two or more LiDAR sensors. It is a challenging task for a user to simultaneously verify and calibrate their lever arms and boresight angles with respect to the IMU using the kinematic data. This paper presents a novel method for determination of MTL calibration parameters using the vector geometry created by a stereo pair of MTL sensors. Through the use of the stereo information provided by a pair of MTL sensors working in tandem, system parameters such as lever arm and boresight angles can be determined for both sensors based on a single pass of a calibration object or scene. In this way, any data collected by a multi-sensor MTL can potentially be used to calibrate the system. Unlike many other calibration methods for calibrating MTL and MAL systems, the proposed method enables the simultaneous calibration of all lever arm and bore sight parameters for all of the LiDAR sensors integrated into the MTL system. Many MTL systems do not make it easy for end users to measure the lever arms, usually forcing users to fall back on mechanical drawings to determine the lever arms. The calibration method has been realized using test data acquired by two independent Lynx Mobile Mapper systems on 1) a single pass of a typical 400-m-long urban street scene and 2) a single pass around a calibration building. Each experiment succeeded at producing arc - second accurate boresight and sub-centimetre accurate lever arm parameters. Several scenarios were run. It was found that this accuracy level could be practically maintained with a control field consisting of five to seven control points distributed on horizontal and vertical surfaces. Numéro de notice : A2016-678 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/cig2016-202 En ligne : http://dx.doi.org/10.5623/cig2016-202 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81932
in Geomatica > vol 70 n° 2 (June 2016) . - pp 97 - 112[article]Les démonstrateurs : une étape importante entre R&D et application opérationnelle / Anne Jolly in Rendez-vous techniques, n° 50 (Hiver 2016)
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Titre : Les démonstrateurs : une étape importante entre R&D et application opérationnelle Type de document : Article/Communication Auteurs : Anne Jolly, Auteur ; Catherine Riond, Auteur Année de publication : 2016 Article en page(s) : pp 31 - 36 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] sylviculture
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) Avec l’apparition de technologies dites de rupture, comme le LiDAR aérien, les apports de la R&D à la gestion forestière ne relèvent plus seulement du progrès technique, au sens de l’amélioration des outils et méthodes existants. Ils induisent des approches inédites, très différentes des usages courants, et qui supposent des compétences (et moyens) spécifiques avec des modes d’organisation adaptés. La démarche d’innovation devient donc en soi un processus à formaliser, avec notamment une étape «démonstrateur» pour bien évaluer les conditions d’un éventuel transfert opérationnel. Numéro de notice : A2016--129 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85116
in Rendez-vous techniques > n° 50 (Hiver 2016) . - pp 31 - 36[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P001852 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Documents numériques
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Les démonstrateursAdobe Acrobat PDF Improving sensor fusion : a parametric method for the geometric coalignment of airborne hyperspectral and lidar data / Maximilian Brell in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
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Titre : Improving sensor fusion : a parametric method for the geometric coalignment of airborne hyperspectral and lidar data Type de document : Article/Communication Auteurs : Maximilian Brell, Auteur ; Christian Rogass, Auteur ; Karl Segl, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 3460 - 3474 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] alignement semi-dirigé
[Termes IGN] appariement géométrique
[Termes IGN] données lidar
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] image multicapteur
[Termes IGN] points homologues
[Termes IGN] superposition d'images
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Synergistic applications based on integrated hyperspectral and lidar data are receiving a growing interest from the remote-sensing community. A prerequisite for the optimum sensor fusion of hyperspectral and lidar data is an accurate geometric coalignment. The simple unadjusted integration of lidar elevation and hyperspectral reflectance causes a substantial loss of information and does not exploit the full potential of both sensors. This paper presents a novel approach for the geometric coalignment of hyperspectral and lidar airborne data, based on their respective adopted return intensity information. The complete approach incorporates ray tracing and subpixel procedures in order to overcome grid inherent discretization. It aims at the correction of extrinsic and intrinsic (camera resectioning) parameters of the hyperspectral sensor. In additional to a tie-point-based coregistration, we introduce a ray-tracing-based back projection of the lidar intensities for area-based cost aggregation. The approach consists of three processing steps. First is a coarse automatic tie-point-based boresight alignment. The second step coregisters the hyperspectral data to the lidar intensities. Third is a parametric coalignment refinement with an area-based cost aggregation. This hybrid approach of combining tie-point features and area-based cost aggregation methods for the parametric coregistration of hyperspectral intensity values to their corresponding lidar intensities results in a root-mean-square error of 1/3 pixel. It indicates that a highly integrated and stringent combination of different coalignment methods leads to an improvement of the multisensor coregistration. Numéro de notice : A2016-855 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2518930 En ligne : https://doi.org/10.1109/TGRS.2016.2518930 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82994
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 6 (June 2016) . - pp 3460 - 3474[article]A multilevel point-cluster-based discriminative feature for ALS point cloud classification / Zhenxin Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
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Titre : A multilevel point-cluster-based discriminative feature for ALS point cloud classification Type de document : Article/Communication Auteurs : Zhenxin Zhang, Auteur ; Liqiang Zhang, Auteur ; Xiaohua Tong, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 3309 - 3321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification automatique
[Termes IGN] codage
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] semis de points
[Termes IGN] séparateur à vaste marge
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Point cloud classification plays a critical role in point cloud processing and analysis. Accurately classifying objects on the ground in urban environments from airborne laser scanning (ALS) point clouds is a challenge because of their large variety, complex geometries, and visual appearances. In this paper, a novel framework is presented for effectively extracting the shape features of objects from an ALS point cloud, and then, it is used to classify large and small objects in a point cloud. In the framework, the point cloud is split into hierarchical clusters of different sizes based on a natural exponential function threshold. Then, to take advantage of hierarchical point cluster correlations, latent Dirichlet allocation and sparse coding are jointly performed to extract and encode the shape features of the multilevel point clusters. The features at different levels are used to capture information on the shapes of objects of different sizes. This way, robust and discriminative shape features of the objects can be identified, and thus, the precision of the classification is significantly improved, particularly for small objects. Numéro de notice : A2016-851 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2514508 En ligne : https://doi.org/10.1109/TGRS.2016.2514508 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82983
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 6 (June 2016) . - pp 3309 - 3321[article]BIM World : quand le futur a des airs de déjà vu / Françoise de Blomac in DécryptaGéo le mag, n° 177 (mai 2016)PermalinkICESat/GLAS canopy height sensitivity inferred from Airborne Lidar / Craig Mahoney in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 5 (May 2016)PermalinkLaser scanning in engineering surveying : methods of measurement and modeling of structures / Grzegorz Lenda in Reports on geodesy and geoinformatics, vol 100 (May 2016)PermalinkRemote sensing technologies for enhancing forest inventories: A review / Joanne C. White in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])PermalinkTerrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)PermalinkAn average error-ellipsoid model for evaluating TLS point-cloud accuracy / Xijiang Chen in Photogrammetric record, vol 31 n° 153 (March - May 2016)PermalinkAssessing the contribution of woody materials to forest angular gap fraction and effective leaf area index using terrestrial laser scanning data / Guang Zheng in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkBIM-GIS, une convergence annoncée / Anonyme in Géomatique expert, n° 109 (mars - avril 2016)PermalinkChallenges and present fields of action at laser scanner based deformation analyses / Christoph Holst in Journal of applied geodesy, vol 10 n° 1 (March 2016)PermalinkCorrection of terrestrial LiDAR intensity channel using Oren–Nayar reflectance model: An application to lithological differentiation / Dario Carrea in ISPRS Journal of photogrammetry and remote sensing, vol 113 (March 2016)PermalinkLasergrammétrie sous-marine : Quel apport pour les métrologies et l’Exploration Production ? / Yann Morel in XYZ, n° 146 (mars - mai 2016)PermalinkOctree-based segmentation for terrestrial LiDAR point cloud data in industrial applications / Yun-Ting Su in ISPRS Journal of photogrammetry and remote sensing, vol 113 (March 2016)PermalinkThe use of laser scanning as a method for measuring stairways following an accident / M. Eyre in Survey review, vol 48 n° 347 (March 2016)PermalinkObject classification and recognition from mobile laser scanning point clouds in a road environment / Matti Lehtomäki in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)PermalinkTerrestrial laser scanning in forest inventories / Xinlian Liang in GIM international, vol 30 n° 2 (February 2016)PermalinkAutonomous navigation in complex nonplanar environments based on laser ranging / Philipp Andreas Krüsi (2016)PermalinkCorrection de nuages de points lidar embarqué sur véhicule pour la reconstruction d’environnement 3D vaste / Pierre Merriaux (2016)PermalinkExternal error modelling with combined model in terrestrial laser scanning / J. Wang in Survey review, vol 48 n° 346 (January 2016)Permalink3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction / Xi Zhu in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)PermalinkSegmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories / Shengli Tao in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)Permalink