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Termes IGN > 1-Candidats > semis de points
semis de points
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- 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 ...
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Automation of point cloud processing to increase the deformation monitoring accuracy / Ján Erdélyi in Applied geomatics, vol 9 n° 2 (June 2017)
[article]
Titre : Automation of point cloud processing to increase the deformation monitoring accuracy Type de document : Article/Communication Auteurs : Ján Erdélyi, Auteur ; Alojz Kopacik, Auteur ; Imrich Liptak, Auteur ; Peter Kyrinovič, Auteur Année de publication : 2017 Article en page(s) : pp 105 - 113 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Matlab
[Termes IGN] régression
[Termes IGN] semis de points
[Termes IGN] surveillance d'ouvrage
[Termes IGN] traitement automatique de données
[Termes IGN] traitement de données localiséesRésumé : (auteur) The weather conditions and the loading during operation cause changes in the shape of engineering structures that affect static and dynamic function and reliability of these structures. Due to this fact, geodetic monitoring is an integral part of engineering structure diagnostics and gives important information about the current state (condition) of the structure. Terrestrial laser scanning (TLS) is often used for data acquisition in cases, requiring 3D information with high resolution. Therefore, TLS is used in different surveying applications, even in deformation monitoring of buildings or engineering structures. TLS allows non-contact documentation of the behaviour of the monitored structure. The accuracy of determination of the 3D coordinates of single measured points by currently commercially available laser scanners is several millimetres. The precision can be increased using suitable data processing, when valid assumptions about the scanned surface are available. The paper presents the possibility of deformation monitoring using TLS. To increase the precision of the results, the chosen parts of the monitored structure are approximated by fitting planes to point cloud. In this case, the position of the monitored point (part of structure) is calculated from tens or hundreds of scanned points instead of a single measurement. An application based on software MATLAB®, Displacement_TLS, was developed for automated data processing. It takes only several minutes, as the calculation is executed automatically for all monitored points at once. The proposed method represents fast and simple data processing. Benefits of the proposed method are demonstrated by experimental measurements of different structures and building elements. Numéro de notice : A2017-360 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-017-0186-y Date de publication en ligne : 19/04/2017 En ligne : http://doi.org/10.1007/s12518-017-0186-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85769
in Applied geomatics > vol 9 n° 2 (June 2017) . - pp 105 - 113[article]Développement du processus de modélisation 3D de maquettes numériques à partir de nuages de points / Thibault Bavoux in XYZ, n° 151 (juin - août 2017)
[article]
Titre : Développement du processus de modélisation 3D de maquettes numériques à partir de nuages de points Type de document : Article/Communication Auteurs : Thibault Bavoux, Auteur Année de publication : 2017 Article en page(s) : pp 37 - 42 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] maquette numérique
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] patrimoine immobilier
[Termes IGN] semis de points
[Termes IGN] traitement automatique de donnéesRésumé : (Auteur) Le BIM a d'abord été introduit pour la conception de nouveaux ouvrages. Toutefois en milieu urbain, on assiste désormais à un besoin dans la modélisation de bâtiments existants, pour des projets de réhabilitation ou de gestion patrimoniale. Dans ce domaine, les technologies de relevé lasergrammétrique semblent les plus appropriées, pour capturer les informations nécessaires à la réalisation de tels modèles. Seulement, aujourd'hui, la création d'une maquette numérique à partir d'un nuage de points reste un processus manuel fastidieux et relativement chronophage. Cet article présente donc l'ensemble des travaux qui ont été menés au sein de la société Futurmap, dans le but d'optimiser et de standardiser ce processus de production. La présente étude a également contribué à la mise en place d'un service innovant de modélisation 3D de bâtiments, qui permet de répondre aux besoins grandissants des professionnels du secteur. Numéro de notice : A2017-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85568
in XYZ > n° 151 (juin - août 2017) . - pp 37 - 42[article]Réservation
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Développement du processus - pdf éditeurAdobe Acrobat PDF Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating / Leena Matikainen in ISPRS Journal of photogrammetry and remote sensing, vol 128 (June 2017)
[article]
Titre : Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating Type de document : Article/Communication Auteurs : Leena Matikainen, Auteur ; Kirsi Karila, Auteur ; Juha Hyyppä, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 298 - 313 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse d'image orientée objet
[Termes IGN] classification dirigée
[Termes IGN] image 3D
[Termes IGN] image multibande
[Termes IGN] instrumentation Optech
[Termes IGN] mise à jour cartographique
[Termes IGN] occupation du sol
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) During the last 20 years, airborne laser scanning (ALS), often combined with passive multispectral information from aerial images, has shown its high feasibility for automated mapping processes. The main benefits have been achieved in the mapping of elevated objects such as buildings and trees. Recently, the first multispectral airborne laser scanners have been launched, and active multispectral information is for the first time available for 3D ALS point clouds from a single sensor. This article discusses the potential of this new technology in map updating, especially in automated object-based land cover classification and change detection in a suburban area. For our study, Optech Titan multispectral ALS data over a suburban area in Finland were acquired. Results from an object-based random forests analysis suggest that the multispectral ALS data are very useful for land cover classification, considering both elevated classes and ground-level classes. The overall accuracy of the land cover classification results with six classes was 96% compared with validation points. The classes under study included building, tree, asphalt, gravel, rocky area and low vegetation. Compared to classification of single-channel data, the main improvements were achieved for ground-level classes. According to feature importance analyses, multispectral intensity features based on several channels were more useful than those based on one channel. Automatic change detection for buildings and roads was also demonstrated by utilising the new multispectral ALS data in combination with old map vectors. In change detection of buildings, an old digital surface model (DSM) based on single-channel ALS data was also used. Overall, our analyses suggest that the new data have high potential for further increasing the automation level in mapping. Unlike passive aerial imaging commonly used in mapping, the multispectral ALS technology is independent of external illumination conditions, and there are no shadows on intensity images produced from the data. These are significant advantages in developing automated classification and change detection procedures. Numéro de notice : A2017-336 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.04.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.04.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85499
in ISPRS Journal of photogrammetry and remote sensing > vol 128 (June 2017) . - pp 298 - 313[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017061 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017063 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017062 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures / Wallace Mukupa in Survey review, vol 49 n° 353 (June 2017)
[article]
Titre : A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures Type de document : Article/Communication Auteurs : Wallace Mukupa, Auteur ; Gethin W. Roberts, Auteur ; Craig M. Hancock, Auteur ; K. Al-Manasir, Auteur Année de publication : 2017 Article en page(s) : pp 99 - 116 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] déformation d'édifice
[Termes IGN] détection de changement
[Termes IGN] géoréférencement direct
[Termes IGN] positionnement en intérieur
[Termes IGN] semis de points
[Termes IGN] surveillance d'ouvrage
[Termes IGN] télémétrie laser terrestre
[Termes IGN] traitement de semis de pointsRésumé : (Auteur) Change detection and deformation monitoring is an active area of research within the field of engineering surveying and other overlapping areas such as structural and civil engineering. This paper reviews the application of terrestrial laser scanning in the monitoring of structures and discusses registration and georeferencing of scan data. Past terrestrial laser scanning research work has shown trends in addressing issues such as accurate registration and georeferencing of scans, error modelling, point cloud processing techniques for deformation analysis, scanner calibration and detection of millimetre deformations. However, several issues are still open to investigation such as robust methods of point cloud processing for detecting change and deformation, incorporation of measurement geometry in deformation measurements, design of data acquisition and quality assessment for precise measurements and modelling the environmental effects on the performance of laser scanning. A three-stage process model for deformation analysis is proposed as conceptualised from the material reviewed. Numéro de notice : A2017-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/00396265.2015.1133039 En ligne : https://doi.org/10.1080/00396265.2015.1133039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84289
in Survey review > vol 49 n° 353 (June 2017) . - pp 99 - 116[article]Total canopy transmittance estimated from small-footprint, full-waveform airborne LiDAR / Milutin Milenković in ISPRS Journal of photogrammetry and remote sensing, vol 128 (June 2017)
[article]
Titre : Total canopy transmittance estimated from small-footprint, full-waveform airborne LiDAR Type de document : Article/Communication Auteurs : Milutin Milenković, Auteur ; Wolfgang Wagner, Auteur ; Raphael Quast, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 61 - 72 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre caducifolié
[Termes IGN] canopée
[Termes IGN] classification dirigée
[Termes IGN] couvert végétal
[Termes IGN] données lidar
[Termes IGN] feuillu
[Termes IGN] forêt
[Termes IGN] forme d'onde pleine
[Termes IGN] Pinophyta
[Termes IGN] réflectance végétale
[Termes IGN] semis de points
[Termes IGN] transmittanceRésumé : (Auteur) Canopy transmittance is a directional and wavelength-specific physical parameter that quantifies the amount of radiation attenuated when passing through a vegetation layer. The parameter has been estimated from LiDAR data in many different ways over the years. While early LiDAR methods treated each returned echo equally or weighted the echoes according to their return order, recent methods have focused more on the echo energy. In this study, we suggest a new method of estimating the total canopy transmittance considering only the energy of ground echoes. Therefore, this method does not require assumptions for the reflectance or absorption behavior of vegetation. As the oblique looking geometry of LiDAR is explicitly considered, canopy transmittance can be derived for individual laser beams and can be mapped spatially. The method was applied on a contemporary full-waveform LiDAR data set collected under leaf-off conditions and over a study site that contains two sub regions: one with a mixed (coniferous and deciduous) forest and another that is predominantly a deciduous forest in an alluvial plain. The resulting canopy transmittance map was analyzed for both sub regions and compared to aerial photos and the well-known fractional cover method. A visual comparison with aerial photos showed that even single trees and small canopy openings are visible in the canopy transmittance map. In comparison with the fractional cover method, the canopy transmittance map showed no saturation, i.e., there was better separability between patches with different vegetation structure. Numéro de notice : A2017-331 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.03.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.03.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85484
in ISPRS Journal of photogrammetry and remote sensing > vol 128 (June 2017) . - pp 61 - 72[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017061 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017063 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017062 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Urban 3D segmentation and modelling from street view images and LiDAR point clouds / Pouria Babahajiani in Machine Vision and Applications, sans n° ([01/06/2017])PermalinkDisocclusion of 3D LiDAR point clouds using range images / Pierre Biasutti in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-1/W1 (May 2017)PermalinkGeometric features and their relevance for 3D point cloud classification / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol IV-1/W1 (May 2017)Permalink3D tree modeling from incomplete point clouds via optimization and L1-MST / Jie Mei in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)PermalinkJournées de la Recherche IGN à l'ENSG / Anonyme in Géomatique expert, n° 116 (mai - juin 2017)PermalinkA scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing / Rémi Cura in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)PermalinkAnalytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data / André Dittrich in ISPRS Journal of photogrammetry and remote sensing, vol 126 (April 2017)PermalinkMapping forest attributes using data from stereophotogrammetry of aerial images and field data from the national forest inventory / Jonas Bohlin in Silva fennica, vol 51 n° 2 (2017)PermalinkProcess BIM : Une chaîne de traitements pour le tel que construit / Tania Landes in Géomètre, n° 2146 (avril 2017)PermalinkSemantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery / Clément Dechesne in ISPRS Journal of photogrammetry and remote sensing, vol 126 (April 2017)PermalinkA classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas / Martin Weinmann in Remote sensing, vol 9 n° 3 (March 2017)PermalinkGeneralizing the prediction sum of squares statistic and formula, application to linear fractional image warp and surface fitting / Adrien Bartoli in International journal of computer vision, vol 122 n° 1 (March 2017)PermalinkJoint inpainting of depth and reflectance with visibility estimation / Marco Bevilacqua in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)PermalinkQuoi de neuf côté BIM / Anonyme in Géomatique expert, n° 115 (mars - avril 2017)PermalinkShipborne over- and under-water integrated mobile mapping system and its seamless integration of point clouds / Bo Shi in Marine geodesy, vol 40 n° 2-3 (March - June 2017)PermalinkAerial lidar point cloud voxelization with its 3D ground filtering application / Liying Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 2 (February 2017)PermalinkCharacterizing vegetation canopy structure using airborne remote sensing data / Debsunder Dutta in IEEE Transactions on geoscience and remote sensing, vol 55 n° 2 (February 2017)PermalinkMultiview marker-free registration of forest terrestrial laser scanner data with embedded confidence metrics / David Kelbe in IEEE Transactions on geoscience and remote sensing, vol 55 n° 2 (February 2017)PermalinkStatistical Relational Learning of Grammar Rules for 3D Building Reconstruction / Youness Dehbi in Transactions in GIS, vol 21 n° 1 (February 2017)PermalinkLarge Scale Mobile Mapping Project in Belgium Combines 360° Images and LiDAR / Lies Steel in Lidar magazine, vol 7 n° 1 ([27/01/2017])Permalink