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Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model / Alessandra A. Sima in Photogrammetric record, vol 29 n° 145 (March - May 2014)
[article]
Titre : Semi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model Type de document : Article/Communication Auteurs : Alessandra A. Sima, Auteur ; Simon J. Buckley, Auteur ; Tobias H. Kurz, Auteur ; Danilo Schneider, Auteur Année de publication : 2014 Article en page(s) : pp 10 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] compensation par faisceaux
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image hyperspectrale
[Termes IGN] image panoramique
[Termes IGN] image terrestre
[Termes IGN] orientation externe
[Termes IGN] points homologues
[Termes IGN] SIFT (algorithme)
[Termes IGN] superposition d'imagesRésumé : (Auteur) Diverse applications can benefit from the integration of data acquired by a new generation of close-range imaging sensors with high-resolution three-dimensional (3D) geometric data. However, such integration requires increased automation and efficiency of image-data registration to guarantee adoption by users beyond the geomatics community. This paper presents a semi-automated method for registering terrestrial panoramic hyperspectral imagery with lidar models and conventional digital photography. The method relies on finding corresponding points between images acquired in significantly different parts of the electromagnetic spectrum, from different viewpoints, and with different spatial resolution and geometric projections. Optimisation of the scale invariant feature transform (SIFT) operator was required to ensure a sufficient number of homologous points, as well as a routine for eliminating false matches. A band selection routine maximises the number of points found while minimising the input data for SIFT. Three-dimensional object coordinates were derived in the lidar model and used as control points in a bundle block adjustment to determine the hyperspectral exterior orientation and intrinsic camera parameters. The method developed was applied to two datasets with different characteristics, and the results indicate that the proposed method is a time-saving alternative to manual approaches. Numéro de notice : A2014-153 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12049 Date de publication en ligne : 13/02/2014 En ligne : https://doi.org/10.1111/phor.12049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33058
in Photogrammetric record > vol 29 n° 145 (March - May 2014) . - pp 10 - 29[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2014011 RAB Revue Centre de documentation En réserve L003 Disponible A study-based ranking of LiDAR data visualization schemes aided by georectified aerial images / Suddasheel Ghosh in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)
[article]
Titre : A study-based ranking of LiDAR data visualization schemes aided by georectified aerial images Type de document : Article/Communication Auteurs : Suddasheel Ghosh, Auteur ; Bharat Lohani, Auteur ; Neeraj Misra, Auteur Année de publication : 2014 Article en page(s) : pp 138 - 150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] orthoimage
[Termes IGN] semis de points
[Termes IGN] Triangulated Irregular Network
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Light Detection and Ranging (LiDAR) collects dense 3D topographic information in the form of points. LiDAR data can be displayed either through direct rendering of the point cloud or by generalizing features extracted through classification or segmentation. We are working in the domain of visualizing LiDAR data sets and have developed certain pipelines for visualization. These pipelines have been presented elsewhere. We present a technique for the evaluation of visualization schemes for LiDAR data, by conducting a visualization experience survey for 13 pre-processing and visualization schemes where 60 participants rated these schemes on a 10 point scale on a questionnaire. The paper establishes a ranking for the different visualization schemes described herein. Finally, this paper establishes that our heuristic-based algorithm (presented elsewhere) performs almost equal to a classification-based visualization pipeline made using professional software. We believe that the presented technique can be used to assess other geospatial visualization schemes. Numéro de notice : A2014-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/15230406.2014.880071 En ligne : https://doi.org/10.1080/15230406.2014.880071 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33110
in Cartography and Geographic Information Science > vol 41 n° 2 (March 2014) . - pp 138 - 150[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Airborne LiDAR and terrestrial laser scanning derived vegetation obstruction factors for visibility models / Jayson Murgoitio in Transactions in GIS, vol 18 n° 1 (February 2014)
[article]
Titre : Airborne LiDAR and terrestrial laser scanning derived vegetation obstruction factors for visibility models Type de document : Article/Communication Auteurs : Jayson Murgoitio, Auteur ; Rupesh Shrestha, Auteur ; Nancy Glenn, Auteur ; Lucas Spaete, Auteur Année de publication : 2014 Article en page(s) : pp 125 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] base de données dérivée
[Termes IGN] contour
[Termes IGN] corrélation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] écosystème forestier
[Termes IGN] intégration de données
[Termes IGN] Pinus contorta
[Termes IGN] régression
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestre
[Termes IGN] visibilitéRésumé : (Auteur) Research presented here explores the feasibility of leveraging vegetation data derived from airborne light detection and ranging (LiDAR) and terrestrial laser scanning (TLS) for visibility modeling. Using LiDAR and TLS datasets of a lodgepole pine (Pinus contorta) dominant ecosystem, tree canopy and trunk obstructions were isolated relevant to a discrete visibility beam in a short-range line-of-sight model. Cumulative obstruction factors from vegetation were compared with reference visibility values from digital photographs along sightline paths. LiDAR-derived tree factors were augmented with single-scan TLS data for obstruction prediction. Good correlation between datasets was found up to 10 m from the terrestrial scanner, but fine scale visibility modeling was problematic at longer distances. Analysis of correlation and regression results reveal the influence of obstruction shadowing inherent to discrete LiDAR and TLS, potentially limiting the feasibility of modeling visibility over large areas with similar technology. However, the results support the potential for TLS-derived subcanopy metrics for augmenting large amounts of aerial LiDAR data to significantly improve models of forest structure. Subtle LiDAR processing improvements, including more accurate tree delineation through higher point density aerial data, combined with better vegetation quantification processes for TLS data, will advance the feasibility and accuracy of data integration. Numéro de notice : A2014-069 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12022 Date de publication en ligne : 17/05/2013 En ligne : https://doi.org/10.1111/tgis.12022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32974
in Transactions in GIS > vol 18 n° 1 (February 2014) . - pp 125 - 146[article]Automatic registration of optical imagery with 3D LiDAR data using statistical similarity / Ebadat Ghanbari Parmehr in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)
[article]
Titre : Automatic registration of optical imagery with 3D LiDAR data using statistical similarity Type de document : Article/Communication Auteurs : Ebadat Ghanbari Parmehr, Auteur ; Clive Simpson Fraser, Auteur ; Chunsun Zhang, Auteur ; Joseph Leach, Auteur Année de publication : 2014 Article en page(s) : pp 28 - 40 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] appariement d'images
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image optique
[Termes IGN] semis de points
[Termes IGN] similitude
[Termes IGN] superposition d'images
[Termes IGN] superposition de donnéesRésumé : (Auteur) The development of robust and accurate methods for automatic registration of optical imagery and 3D LiDAR data continues to be a challenge for a variety of applications in photogrammetry, computer vision and remote sensing. This paper proposes a new approach for the registration of optical imagery with LiDAR data based on the theory of Mutual Information (MI), which exploits the statistical dependency between same- and multi-modal datasets to achieve accurate registration. The MI-based similarity measures quantify dependencies between aerial imagery, and both LiDAR intensity data and 3D point cloud data. The needs for specific physical feature correspondences, which are not always attainable in the registration of imagery with 3D point clouds, are avoided. Current methods for registering 2D imagery to 3D point clouds are first reviewed, after which the mutual MI approach is presented. Particular attention is given to adoption of the Normalised Combined Mutual Information (NCMI) approach as a means to produce a similarity measure that exploits the inherently registered LiDAR intensity and point cloud data so as to improve the robustness of registration between optical imagery and LiDAR data. The effectiveness of local versus global similarity measures is also investigated, as are the transformation models involved in the registration process. An experimental program conducted to evaluate MI-based methods for registering aerial imagery to LiDAR data is reported and the results obtained in two areas with differing terrain and land cover, and with aerial imagery of different resolution and LiDAR data with different point density are discussed. These results demonstrate the potential of the MI and especially the CMI methods for registration of imagery and 3D point clouds, and they highlight the feasibility and robustness of the presented MI-based approach to automated registration of multi-sensor, multi-temporal and multi-resolution remote sensing data for a wide range of applications. Numéro de notice : A2014-082 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.11.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.11.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32987
in ISPRS Journal of photogrammetry and remote sensing > vol 88 (February 2014) . - pp 28 - 40[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Colorisation de nuages de points 3D par recalage dense d’images numériques / Nathalie Crombez in Traitement du signal, vol 31 n° 1-2 (2014-1-2)
[article]
Titre : Colorisation de nuages de points 3D par recalage dense d’images numériques Type de document : Article/Communication Auteurs : Nathalie Crombez, Auteur ; Guillaume Caron, Auteur ; El-Mustapha Mouaddib, Auteur Année de publication : 2014 Article en page(s) : pp 81 - 106 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Amiens
[Termes IGN] cathédrale
[Termes IGN] couleur (variable spectrale)
[Termes IGN] couleur à l'écran
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image numérique
[Termes IGN] image terrestre
[Termes IGN] patrimoine immobilier
[Termes IGN] photométrie
[Termes IGN] recalage d'image
[Termes IGN] recalage de données localisées
[Termes IGN] semis de pointsRésumé : (auteur) Le patrimoine architectural est composé de biens historiques et artistiques qui doivent être protégés, préservés, restaurés et exposés au plus grand nombre. Des appareils modernes tels que les scanners à laser 3D sont de plus en plus utilisés en documentation culturelle. Ces outils permettent de générer avec précision et rapidité des nuages de points de monuments historiques. Avec les données collectées, il est possible de créer un maillage afin de visualiser virtuellement les formes et/ou la surface de l’édifice. La plupart du temps, le scanner tridimensionnel est équipé d’un appareil photo numérique qui est utilisé pour coloriser les points relevés. Cependant, la qualité photométrique du nuage de points n’est pas toujours suffisante principalement à cause de problèmes de couleurs et de résolution. Des méthodes d’uniformisation d’intensités existent pour améliorer la colorimétrie mais ne permettent pas d’obtenir des rendus photo-réalistes et d’améliorer la résolution. C’est pourquoi, nous proposons une nouvelle méthode pour coloriser les nuages de points à l’aide d’images numériques de haute résolution acquises avec un appareil photo. Pour cela, nous avons développé une méthode permettant d’obtenir un recalage précis entre des images numériques acquises et un nuage de points, ce qui est une étape cruciale pour une bonne colorisation par projection de couleurs. Des résultats sur des jeux de données issus de la numérisation de la cathédrale d’Amiens à l’intérieur et à l’extérieur démontrent la validité de notre approche en obtenant des nuages de points de qualité et de résolution photométriques nettement meilleures. Numéro de notice : A2014-456 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3166/TS.31.81-10 En ligne : http://gretsi.fr/data/ts/pdf/2014_31_1_70248_1.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80832
in Traitement du signal > vol 31 n° 1-2 (2014-1-2) . - pp 81 - 106[article]Combining RapidEye and lidar satellite imagery for mapping of mining and mine reclamation / Aaron E. Maxwell in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)PermalinkFiltering airborne lidar data by modified white top-hat transform with directional edge constraints / Yong Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)PermalinkPhotogrammetry or lidar? / Fabrice Marre in GEO: Geoconnexion international, vol 13 n° 2 (february 2014)PermalinkPutting stock in your survey / Bernard Draeyer in GEO: Geoconnexion international, vol 13 n° 2 (february 2014)PermalinkPermalinkAmélioration de la localisation 3D de données laser terrestre à l'aide de cartes 2D ou modèles 3D / Fabrice Monnier (2014)PermalinkPermalinkAn algorithm for automatic detection of pole-like street furniture objects from Mobile Laser Scanner point clouds / C. Cabo in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkAnalyse sémantique de nuages de points 3D dans le milieu urbain : sol, façades, objets urbains et accessibilité / Andres Felipe Serna Morales (2014)PermalinkContextual classification of lidar data and building object detection in urban areas / Joachim Niemeyer in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkEstimation de la biomasse aérienne à partir de données lidar aéroporté / António Ferraz in Revue Française de Photogrammétrie et de Télédétection, n° 205 (Janvier 2014)PermalinkPermalinkFusion of airborne laserscanning point clouds and images for supervised and unsupervised scene classification / Markus Gerke in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkIndividual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery / Yuchu Qin (2014)PermalinkIntegrating disparate lidar data at the national scale to assess the relationships between height above ground, land cover and ecoregions / Jason M. Stocker in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)PermalinkIntégration des systèmes d’acquisition de données topographiques par scanner laser dynamique dans les processus de mesure et de contrôle des gabarits de la SNCF / Quentin Choquart (2014)PermalinkLarge scale road network extraction in forested moutainous areas using airborne laser scanning data / António Ferraz (2014)PermalinkLiDAR-derived surface roughness texture mapping: Application to mount St. Helens Pumice Plain deposit analysis / Patrick L. Whelley in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 2 (January 2014)PermalinkMethod comparisons of forest attribute estimations based on different remote sensing sources, including Lidar. The Vosges case study / Nicolas Py (2014)PermalinkNewly recorded Neolithic earthen long barrows in south-western Poland: unexpected discoveries, expanded perspectives, new interprétations / Agnieszka Przybył (2014)PermalinkNumérisation 3D de bâtiments / Raphaële Heno (2014)PermalinkReconstruction de modèles 3D photoréalistes de façades à partir de données image et laser terrestre / Jérôme Demantké (2014)PermalinkUAV photogrammetry to monitor dykes-calibration and comparaison to terrestrial Lidar / Vincent Tournadre (2014)PermalinkUsing mobile laser scanning data for automated extraction of road markings / Haiyan Guan in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)Permalink3D tree reconstruction from simulated small footprint waveform lidar / Jiaying Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)PermalinkAssessing post-fire regeneration in a Mediterranean mixed forest using lidar data and artificial neural networks / Haifa Debouk in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)PermalinkChange detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data / Marcus Hebel in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)PermalinkDigital elevation quality derived from medium-format digital cameras / Peter T. Y. Shih in Photogrammetric record, vol 28 n° 144 (December 2013 - February 2014)PermalinkOrthorectification of full-polarimetric radarsat-2 data using accurate LIDAR DSM / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 51 n° 12 (December 2013)PermalinkA photogrammetric workflow for the creation of a forest canopy height model from small unmanned aerial system imagery / Jonathan Lisein in Forests, vol 4 n° 4 (december 2013)PermalinkAdaptive algorithm for large scale DTM interpolation from lidar data for forestry applications in steep forested terrain / Almasi S. Maguya in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)PermalinkAn automated algorithm for extracting road edges from terrestrial mobile LiDAR data / Pankaj Kumar in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)PermalinkCoastal wetland mapping combining multi-date SAR and LiDAR / Thomas Richard Allen in Geocarto international, vol 28 n° 7-8 (November - December 2013)PermalinkLarge-scale classification of water areas using airborne topographic lidar data / Julien Smeeckaert in Remote sensing of environment, vol 138 (November 2013)PermalinkSemi-automatic road/pavement modeling using mobile laser scanning / Alexandre Hervieu in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W3 (November 2013)PermalinkSingle tree biomass modelling using airborne laser scanning / Ville Kankare in ISPRS Journal of photogrammetry and remote sensing, vol 85 (November 2013)PermalinkChange Detection in 3D Point Clouds Acquired by a Mobile Mapping System / Wen Xiao in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)PermalinkRegistration of terrestrial mobile laser data on 2D or 3D geographic database by use of a non-rigid ICP approach / Fabrice Monnier in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-5 W2 (November 2013)Permalink3D range scan enhancement using image-based methods / Steffen Herbort in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)PermalinkA comprehensive review of earthquake-induced building damage detection with remote sensing techniques / Laigen Dong in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)PermalinkDirect georeferencing of airborne LiDAR data in national coordinates / Yongjun Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)PermalinkOut-of-core GPU-based change detection in massive 3D point clouds / Rico Richter in Transactions in GIS, vol 17 n° 5 (October 2013)PermalinkUrban accessibility diagnosis from mobile laser scanning data / Andrès Serna in ISPRS Journal of photogrammetry and remote sensing, vol 84 (October 2013)PermalinkAutomatic extraction of building roofs using LIDAR data and multispectral imagery / Mohammad Awrangjeb in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkDevelopment of a vector-based method for coastal bluffline mapping using LiDAR data and a comparison study in the area of lake Erie / Yunjae Choung in Marine geodesy, vol 36 n° 3 (September - November 2013)PermalinkPerformance of dense digital surface models based on image matching in the estimation of plot-level forest variables / Kimmo Nurminen in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkA random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points / Liang Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)PermalinkA synergistic approach for recovering occlusion-free textured 3D maps of urban facades from heterogeneous cartographic data / Karim Hammoudi in International journal of advanced robotic systems, vol 10 (2013)Permalink3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar / Fumiki Hosoi in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkAccurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) / Dimitri Lague in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkAnalysis of full-waveform LiDAR data for classification of an orange orchard scene / Karolina D. Fieber in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkA methodology to characterize vertical accuracies in lidar-derived products at landscape scales / Wade T. Tinkham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)PermalinkA multiresolution hierarchical classification algorithm for filtering airborne LiDAR data / Chuanfa Chen in ISPRS Journal of photogrammetry and remote sensing, vol 82 (August 2013)PermalinkRegistration of aerial imagery and lidar data in desert areas using the centroids of bushes as control information / Na Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)PermalinkRegistration of optical images with lidar data and its accuracy assessment / Shunyl Zheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 8 (August 2013)PermalinkThe influence of digital surface model choice on visibility-based mobile geospatial applications / Sam Meek in Transactions in GIS, vol 17 n° 4 (August 2013)PermalinkAssessing lidar accuracy with hexagonal retro-reflective targets / Roberto Canavosio-Zuzelski in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 7 (July 2013)PermalinkFiltering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification / Jixian Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkForest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan / Masato Hayashi in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkA shape-based segmentation method for mobile laser scanning point clouds / Yang Bisheng in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkAn object-based system for Lidar data fusion and feature extraction / Jarlath P. M. O'Neil-Dunne in Geocarto international, vol 28 n° 3-4 (June - July 2013)PermalinkAssessing the positional accuracy of airborne laser scanning in urban areas / Joachim Hölhe in Photogrammetric record, vol 28 n° 142 (June - August 2013)PermalinkChallenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA / L. Shea Rose in Geocarto international, vol 28 n° 3-4 (June - July 2013)PermalinkDerivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality / Magnus Bremer in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)PermalinkInnovations technologiques topographiques et la détection de réseaux / Lobna Rekik in XYZ, n° 135 (juin - août 2013)PermalinkChange detection and deformation analysis in point clouds: Application to rock face monitoring / Marco Scaioni in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)PermalinkA generative statistical approach to automatic 3D building roof reconstruction from laser scanning data / Hai Huang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkGeometric calibration of a terrestrial laser scanner with local additional parameters: An automatic strategy / D. Garcia-San-Miguel in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkInfluence of a dense, low-height shrub species on the accuracy of a lidar-derived DEM / Samuel B. Gould in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 5 (May 2013)PermalinkA laser scanning-based method for fast estimation of seismic-induced building deformations / Arianna Pesci in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkRestoration drama / Théo Drechsel in GEO: Geoconnexion international, vol 12 n° 5 (may 2013)PermalinkSemi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds / Bishen Yang in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkSingle tree detection from airborne laser scanning data using a marked point process based method / Junjie Zhang in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 W1 (May 2013)PermalinkTowards 3D lidar point cloud registration improvement using optimal neighborhood knowledge / Adrien Gressin in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkGrowth-competition-based stem diameter and volume modeling for tree-level forest inventory using airborne LiDAR data / Chien-Shun Lo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkPedestrian network extraction from fused aerial imagery (orthoimages) and laser imagery (lidar) / Piyawan Kasemsuppakorn in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)PermalinkQuality assessment of cloud-top height estimates from satellite IR radiances using the CALIPSO Lidar / Sabatino, Di Michele in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 2 (April 2013)PermalinkStem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)PermalinkAn improved simple morphological filter for the terrain classification of airborne LIDAR data / Thomas J. Pingel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkAutomated urban analysis based on LiDAR-derived building models / Diego Gonzalez-Aguilera in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 2 (March 2013)PermalinkComparison of forest attributes derived from two terrestrial lidar systems / Mark J. Ducey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)PermalinkIGN : les expertises innovantes (spatiales, aériennes, géographiques et forestières) / Anonyme in XYZ, n° 134 (mars - mai 2013)PermalinkLand cover dependant error intermap IFSAR DTM: Lidar comparison and fusion potential / S. Coveney in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)PermalinkThe influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans / Pyare Pueschel in ISPRS Journal of photogrammetry and remote sensing, vol 77 (March 2013)PermalinkA framework for the registration and segmentation of heterogeneous lidar data / M. Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkFrom LiDAR data to forest representation on multi-scale / Freiderike Schwarzbach in Cartographic journal (the), vol 50 n° 1 (February 2013)PermalinkGeneration 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)PermalinkGround filtering and vegetation mapping using multi-return terrestrial laser scanning / Francesco Pirotti in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkMeet Dr Johannes Riegl / P. Ftizgibbon in GEO: Geoconnexion international, vol 12 n° 2 (february 2013)PermalinkModel driven reconstruction of roofs from sparse LIDAR point clouds / A. Henn in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)PermalinkMoving toward consistent ALS monitoring of forest attributes across Canada: A consortium approach / Christopher Hopkinson in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkNew approaches for estimating local point density and its impact on lidar data segmentation / Z. Lari in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkOne 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)PermalinkRetrieval 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)PermalinkSegmentation of terrestrial laser scanning data using geometry and image information / S. Barnea in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)Permalink