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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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Discriminative-dictionary-learning-based multilevel point-cluster features for ALS point-cloud classification / Zhenxin Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)
[article]
Titre : Discriminative-dictionary-learning-based multilevel point-cluster features 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 7309 - 7322 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] apprentissage automatique
[Termes IGN] classificateur
[Termes IGN] codage
[Termes IGN] extraction de points
[Termes IGN] problème de Dirichlet
[Termes IGN] semis de pointsRésumé : (Auteur) Efficient presentation and recognition of on-ground objects from airborne laser scanning (ALS) point clouds are a challenging task. In this paper, we propose an approach that combines a discriminative-dictionary-learning-based sparse coding and latent Dirichlet allocation (LDA) to generate multilevel point-cluster features for ALS point-cloud classification. Our method takes advantage of the labels of training data and each dictionary item to enforce discriminability in sparse coding during the dictionary learning process and more accurately further represent point-cluster features. The multipath AdaBoost classifiers with the hierarchical point-cluster features are trained, and we apply them to the classification of unknown points by the heritance of the recognition results under different paths. Experiments are performed on different ALS point clouds; the experimental results have shown that the extracted point-cluster features combined with the multipath classifiers can significantly enhance the classification accuracy, and they have demonstrated the superior performance of our method over other techniques in point-cloud classification. Numéro de notice : A2016-931 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2599163 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2599163 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83345
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 12 (December 2016) . - pp 7309 - 7322[article]Generating a hazard map of dynamic objects using lidar mobile mapping / Alexander Schlichting in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 12 (December 2016)
[article]
Titre : Generating a hazard map of dynamic objects using lidar mobile mapping Type de document : Article/Communication Auteurs : Alexander Schlichting, Auteur ; Claus Brenner, Auteur Année de publication : 2016 Article en page(s) : pp 967 - 972 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] aléa
[Termes IGN] cartographie cadastrale
[Termes IGN] cartographie des risques
[Termes IGN] détection de piéton
[Termes IGN] processus
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] véhicule sans piloteRésumé : (auteur) One of the hardest problems for future self-driving cars is to predict hazardous situations involving pedestrians and cyclists. Human drivers solve this problem typically by having a deeper understanding of the scene. The technical equivalent of this is to provide a hazard map, which serves as a prior for self-driving cars, enabling them to adjust driving speed and processing thresholds.
In this paper, we present a method to derive such a hazard map using lidar mobile mapping. Pedestrians and cyclists are obtained from a sequence of point clouds by segmentation and classification. Their locations are then accumulated in a grid map, which serves as a "heat map" for possible hazardous situations. To demonstrate our approach, we generated a map using lidar mobile mapping, obtained by twelve measurement campaigns in Hanover (Germany). Our results show different outcomes for the city center, residential areas, busy roads, and road junctions.Numéro de notice : A2016-985 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.12.967 En ligne : https://doi.org/10.14358/PERS.82.12.967 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83701
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 12 (December 2016) . - pp 967 - 972[article]Image-based mobile mapping for 3D Urban data capture / Stefan Cavegn in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 12 (December 2016)
[article]
Titre : Image-based mobile mapping for 3D Urban data capture Type de document : Article/Communication Auteurs : Stefan Cavegn, Auteur ; Norbert Haala, Auteur Année de publication : 2016 Article en page(s) : pp 925 - 933 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] acquisition de données
[Termes IGN] appariement d'images
[Termes IGN] géoréférencement direct
[Termes IGN] image multicapteur
[Termes IGN] image terrestre
[Termes IGN] lever mobile
[Termes IGN] milieu urbain
[Termes IGN] reconstruction 3D
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobile
[Termes IGN] télémétrie laser terrestre
[Termes IGN] traitement d'imageRésumé : (auteur) Ongoing innovations in dense multi-view stereo image matching meanwhile allow for 3D data collection using image sequences captured from mobile mapping platforms even in complex and densely built-up areas. However, the extraction of dense and precise 3D point clouds from such street-level imagery presumes high quality georeferencing as a first processing step. While standard direct georeferencing solves this task in open areas, poor GNSS coverage in densely built-up areas and urban canyons frequently prevents sufficient accuracy and reliability. Thus, we use bundle block adjustment, which additionally integrates tie and control point information for precise georeferencing of our multi-camera mobile mapping system. Subsequently, this allows the adaption of a state-of-the-art dense image matching pipeline to provide a suitable 3D representation of the captured urban structures. In addition to the presentation of different processing steps, this paper also provides an evaluation of the achieved image-based 3D capture in a dense urban environment. Numéro de notice : A2016-981 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.12.925 En ligne : https://doi.org/10.14358/PERS.82.12.925 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83693
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 12 (December 2016) . - pp 925 - 933[article]Optimal placement of a terrestrial laser scanner with an emphasis on reducing occlusions / Morteza Heidari Mozaffar in Photogrammetric record, vol 31 n° 156 (December 2016 - February 2017)
[article]
Titre : Optimal placement of a terrestrial laser scanner with an emphasis on reducing occlusions Type de document : Article/Communication Auteurs : Morteza Heidari Mozaffar, Auteur ; Masood Varshosaz, Auteur Année de publication : 2016 Article en page(s) : pp 374 – 393 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] angle de visée
[Termes IGN] occultation du signal
[Termes IGN] optimisation spatiale
[Termes IGN] point de visibilité
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) In this paper, a new automated algorithm is proposed that finds the optimum locations of a terrestrial laser scanner (TLS), ensuring completeness of data and minimising the number of scanning locations. The process starts with an initial scan and placing a 3D grid of candidate stations over the entire scan area. A global visibility analysis is then performed to identify the next best view (NBV) location. The TLS is placed on this selected point and a new scan is recorded. Having updated the initial scan with the resulting point cloud, the model is checked for completeness and density. The process is repeated until full coverage of the scan area is achieved by determining the best global arrangement with the minimum number of stations. Experiments show that the algorithm is able to automatically determine the station positions and provide a coverage of 99·5% for simulated data and 91% for real data. Numéro de notice : A2016--002 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12162 Date de publication en ligne : 15/12/2016 En ligne : https://doi.org/10.1111/phor.12162 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83820
in Photogrammetric record > vol 31 n° 156 (December 2016 - February 2017) . - pp 374 – 393[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016041 RAB Revue Centre de documentation En réserve L003 Disponible Planar-based adaptive down-sampling of point clouds / Yun-Jou Lin in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 12 (December 2016)
[article]
Titre : Planar-based adaptive down-sampling of point clouds Type de document : Article/Communication Auteurs : Yun-Jou Lin, Auteur ; Ronald R Benziger, Auteur ; Ayman Habib, Auteur Année de publication : 2016 Article en page(s) : pp 955 - 966 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] densité des points
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] surface plane
[Termes IGN] traitement automatique de données
[Termes IGN] traitement de données localiséesRésumé : (auteur) Derived point clouds from laser scanners and image-based dense-matching techniques usually include tremendous number of points. Processing (e.g., segmenting) such huge dataset is time-consuming and might not be necessary. For example, a planar surface just needs few points to be defined. In contrast, linear/cylindrical and rough features require more points for reliable modeling since during the data acquisition process, only a portion of linear/cylindrical features is present in the point cloud.
This paper introduces an adaptive down-sampling strategy for removing redundant points from high density planar regions while retaining points in planar areas with sparse points and all the points within linear/cylindrical and rough neighborhoods. To demonstrate the feasibility and performance of the proposed procedure, a comparison of segmentation results using original laser and image-based point clouds as well as the adaptively, uniformly, and point-spacing-based down-sampled point clouds are presented while commenting on the computational efficiency and the segmentation quality.Numéro de notice : A2016-984 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.12.955 En ligne : https://doi.org/10.14358/PERS.82.12.955 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83700
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 12 (December 2016) . - pp 955 - 966[article]Rigorous strip adjustment of UAV-based laserscanning data including time-dependent correction of trajectory errors / Philipp Glira in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 12 (December 2016)PermalinkThe practical application of 3D vision in the field: Measuring reindeer (rangifer tarandus) antler growth velocities / Derek D. Lichti in Photogrammetric record, vol 31 n° 156 (December 2016 - February 2017)PermalinkThree-dimensional deformation monitoring of urban infrastructure by tomographic SAR using multitrack TerraSAR-X data stacks / Sina Montazeri in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)PermalinkClose-range photogrammetric tools for epigraphic surveys / Mariam Samaan in Journal on Computing and Cultural Heritage (JOCCH), vol 9 n° 3 (November 2016)PermalinkNon-rigid registration of 3D point clouds under isometric deformation / Xuming Ge in ISPRS Journal of photogrammetry and remote sensing, vol 121 (November 2016)PermalinkDu nuage de points à la représentation 3D avec PostGIS / Tom Van Tilburg in Géomatique expert, n° 113 (novembre - décembre 2016)PermalinkRelevé topographique des environnements urbains [article originellement paru dans le numéro mai/juin 2016 de la revue italienne GEOMedia] / Luigi Colombo in Géomatique expert, n° 113 (novembre - décembre 2016)PermalinkTraitement des nuages de points sous PostGIS / Ludovic Delauné in Géomatique expert, n° 113 (novembre - décembre 2016)PermalinkAutomatic registration of MLS point clouds and SfM meshes of urban area / Reiji Yoshimura in Geo-spatial Information Science, vol 19 n° 3 (October 2016)PermalinkEffects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns / Kaja Kandare in European journal of remote sensing, vol 49 n° 1 (2016)PermalinkA functional regression model for inventories supported by aerial laser scanner data or photogrammetric point clouds / Magnussen, Steen in Remote sensing of environment, vol 184 (October 2016)PermalinkInterurban visibility diagnosis from point clouds / Oscar Iglesias in European journal of remote sensing, vol 49 n° 1 (2016)PermalinkA robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data / Hamid Hamraz in International journal of applied Earth observation and geoinformation, vol 52 (October 2016)PermalinkThe D-FCM partitioned D-BSP tree for massive point cloud data access and rendering / Yi Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 120 (october 2016)PermalinkLidar detection of individual tree size in tropical forests / António Ferraz in Remote sensing of environment, vol 183 (15 September 2016)PermalinkDynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence / Chi Chen in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)PermalinkEfficient terrestrial laser scan segmentation exploiting data structure / Hamid Mahmoudabadi in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)PermalinkIdentification of stable areas in unreferenced laser scans for deformation measurement / Daniel Wujanz in Photogrammetric record, vol 31 n° 155 (September - November 2016)PermalinkInternational benchmarking of the individual tree detection methods for modeling 3-D canopy structure for silviculture and forest ecology using airborne laser scanning / Yunsheng Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 9 (September 2016)PermalinkSlicing method for curved façade and window extraction from point clouds / S.M. Iman Zolanvari in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)Permalink3D building reconstruction from ALS data using unambiguous decomposition into elementary structures / Malgorzata Jarząbek-Rychard in ISPRS Journal of photogrammetry and remote sensing, vol 118 (August 2016)PermalinkAirborne lidar estimation of aboveground forest biomass in the absence of field inventory / António Ferraz in Remote sensing, vol 8 n° 8 (August 2016)PermalinkA local structure and direction-aware optimization approach for three-dimensional tree modeling / Zhen Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)PermalinkClassifying buildings from point clouds and images / Evangelos Maltezos in GIM international [en ligne], vol 30 n° 7 (July 2016)PermalinkA hierarchical approach to three-dimensional segmentation of LiDAR data at single-tree level in a multilayered forest / Claudia Paris in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)PermalinkA new adaptive method to filter terrestrial laser scanner point clouds using morphological filters and spectral information to conserve surface micro-topography / Emilio Rodríguez-Caballero in ISPRS Journal of photogrammetry and remote sensing, vol 117 (July 2016)PermalinkHybrid online mobile laser scanner calibration through image alignment by mutual information / Mourad Miled in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol III-1 (July 2016)PermalinkiTowns, framework web pour la donnée géographique 3D / Vincent Picavet in XYZ, n° 147 (juin - août 2016)PermalinkA multi-scale plane-detection method based on the Hough transform and region growing / Xiaoxu Leng in Photogrammetric record, vol 31 n° 154 (June - August 2016)PermalinkA 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)PermalinkDes nouveaux moyens et des opportunités / Laurent Polidori in Géomètre, n° 2137 (juin 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 ranging plus GNSS / Jyh-Ching Juang in GPS world, vol 27 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)PermalinkRobust approximation of the Medial Axis Transform of LiDAR point clouds as a tool for visualisation / Ravi Peters in Computers & geosciences, vol 90 part A (May 2016)PermalinkTerrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)PermalinkProject pointless : pathfinding through identified empty space in point clouds / Tom Broersen in GIM international [en ligne], vol 30 n° 4 (April 2016)PermalinkRobust locally weighted regression techniques for ground surface points filtering in mobile laser scanning three dimensional point cloud data / Abdul Nurunnabi in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)PermalinkStreet-side vehicle detection, classification and change detection using mobile laser scanning data / Wen Xiao in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)PermalinkOn the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters / Cédric Vega in Remote sensing of environment, vol 175 (15 March 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)PermalinkAugmented survey reality : a surveying firm in Western Australia is exploring the extents of the known Holoverse / Anthony Wallace in Position, n° 81 (February - March 2016)PermalinkAutomatic detection and reconstruction of 2-D/3-D building shapes from spaceborne TomoSAR point clouds / Muhammad Shahzad in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (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)PermalinkLaser scanning based growth analysis of plants as a new challenge for deformation monitoring / Jan Dupuis in Journal of applied geodesy, vol 10 n° 1 (March 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)PermalinkRobust spatial approximation of laser scanner point clouds by means of Free-form Curve approaches in deformation analysis / Johannes Bureick in Journal of applied geodesy, vol 10 n° 1 (March 2016)PermalinkImproved salient feature-based approach for automatically separating photosynthetic and nonphotosynthetic components within terrestrial Lidar point cloud data of forest canopies / Lixia Ma in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)PermalinkLarge-scale road detection in forested mountainous areas using airborne topographic lidar data / António Ferraz in ISPRS Journal of photogrammetry and remote sensing, vol 112 (February 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)PermalinkReconstructing a church in 3D / Matthias Naumann in GIM international [en ligne], vol 30 n° 2 (February 2016)PermalinkA wavelet-based echo detector for waveform LiDAR data / Cheng-Kai Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 2 (February 2016)PermalinkPermalinkAcquisition et reconstruction de données 3D denses sous-marines en eau peu profonde par des robots d'exploration / Loïca Avanthey (2016)PermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkAutomatic modeling of building interiors using low-cost sensor systems / Ali Mohammad Khosravani (2016)PermalinkPermalinkAutonomous navigation in complex nonplanar environments based on laser ranging / Philipp Andreas Krüsi (2016)PermalinkCombining spaceborne SAR images with 3D point clouds for infrastructure monitoring applications / Andrei Anghel in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)PermalinkPermalinkDense image matching / Martin Kodde in GIM international [en ligne], vol 30 n° 1 (January 2016)PermalinkDétection à haute résolution spatiale de la desserte forestière en milieu montagneux par lidar aéroporté / Clément Mallet in Forêt entreprise, n° 226 (janvier/février 2016)PermalinkDetection, segmentation and localization of individual trees from MMS point cloud data / Martin Weinmann (2016)PermalinkPermalinkDigital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring / Martina Porfiri (2016)PermalinkEntwicklung einer direkten Georeferenzierungseinheit zur Positions- und Orientierungbestimmung leichter UAVs in Eichzeit / Christian Eling (2016)PermalinkForest stand segmentation using airborne lidar data and very high resolution multispectral imagery / Clément Dechesne (2016)PermalinkGeodetic SAR tomography / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkInverse procedural Street Modelling: from interactive to automatic reconstruction / Rémi Cura (2016)PermalinkMise en place de procédures automatiques en vue d’accélérer la production des plans topographiques au sein de l’entreprise Techni Drone / Kévin Javerliat (2016)PermalinkObject-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection / Anandakumar M. Ramiya in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkPhotogrammetric computer vision / Wolfgang Förstner (2016)PermalinkPermalinkRealtime projective multi-texturing of pointclouds and meshes for a realistic street-view web navigation / Alexandre Devaux (2016)PermalinkRemote Sensing Observations of Continental Surfaces, ch. 6. Airborne lidar data processing / Clément Mallet (2016)PermalinkRemote Sensing Observations of Continental Surfaces, ch. 7. Digital Terrain Models derived from airborne lidar data / Clément Mallet (2016)PermalinkSegmentation and localization of individual trees from MMS point cloud data acquired in urban areas / Martin Weinmann (2016)PermalinkPermalinkSurface-based matching of 3D point clouds with variable coordinates in source and target system / Xuming Ge in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)PermalinkThe iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds / Jan Böhm (2016)PermalinkPermalinkPermalinkUtilisation des outils de la télédétection très haute résolution pour le suivi de la végétation sur la zone de compensation écologique Ile Falcon / Clément Boutry (2016)PermalinkPermalinkCreation of parametric BIM objects from point clouds using nurbs / Luigi Barazzetti in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)PermalinkDevelopment, calibration and evaluation of a portable and direct georeferenced laser scanning system for kinematic 3D mapping / Erik Heinz in Journal of applied geodesy, vol 9 n° 4 (December 2015)PermalinkJournées de la topo 2015 : le Mystère BIM dévoilé / Antoine Cremmel in XYZ, n° 145 (décembre 2015 - février 2016)PermalinkMapping with small UAS: A point cloud accuracy assessment / Charles K. Toth in Journal of applied geodesy, vol 9 n° 4 (December 2015)PermalinkLe relevé 3D du patrimoine culturel : la Ca' Vendramin dei Leoni, musée Guggenheim de Venise / Caterina Balletti in XYZ, n° 145 (décembre 2015 - février 2016)PermalinkThe use of video-tacheometric technology for documenting and analysing geometric features of objects / Marek Woźniak in Reports on geodesy and geoinformatics, vol 99 (December 2015)PermalinkAn automated method to register airborne and terrestrial laser scanning point clouds / Bisheng Yang in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)PermalinkEffiziente Interpretation von 3D-Punktwolken durch die Abschätzung der Relevanz von Merkmalen / Martin Weinmann in AVN Allgemeine Vermessungs-Nachrichten, vol 2015 n° 10 (Oktober 2015)PermalinkFusion of waveform LiDAR data and hyperspectral imagery for land cover classification / Hongzhou Wang in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)PermalinkA geometric method for wood-leaf separation using terrestrial and simulated Lidar data / Shengli Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)Permalink