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Titre : Analyse et reconstruction de scènes urbaines : Habilitation à diriger des recherches Type de document : Thèse/HDR Auteurs : Bruno Vallet , Auteur Editeur : Champs/Marne : Université Paris-Est Année de publication : 2016 Importance : 102 p. Format : 21 x 30 cm Note générale : bibliographie
Synthèse de travaux présentée en vue d’obtenir l’Habilitation à Diriger des Recherches délivrée par l’Université Paris-Est, spécialité « Sciences et Technologies de l’Information Géographique »Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse de scène 3D
[Termes IGN] classification
[Termes IGN] détection d'objet
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] image à haute résolution
[Termes IGN] mise à l'échelle
[Termes IGN] optimisation (mathématiques)
[Termes IGN] reconstruction 3D
[Termes IGN] scène urbaine
[Termes IGN] segmentation sémantique
[Termes IGN] Stéréopolis
[Termes IGN] système de numérisation mobile
[Termes IGN] texturageIndex. décimale : THESE Thèses et HDR Résumé : (auteur) La population des pays développés habite maintenant majoritairement le milieu urbain et sa densification pose de nombreux problèmes. Les réponses apportées à ces problèmes doivent reposer sur une information fiable, précise, détaillée et actuelle de ces scènes urbaines. Ce besoin explique l'essor de nouvelles plateformes d'acquisition (cartographie mo- bile, drones) s'ajoutant aux plateformes plus anciennes (aérien, satellite) pour améliorer la description de ces scènes. Ainsi, le travail de ce mémoire s'intéresse à l'ensemble des méthodes qui permettent de passer des données brutes d'acquisition (image et Lidar) à partir de ces plateformes à une représentation structurée et sémantique utile de la scène, et en particulier aux quatre grandes thématiques de la remise en géométrie, de l'analyse, de la reconstruction et de la texturation dont les périmètres seront définis précisément. Les spécificités de ce travail de recherche seront ensuite détaillées : l'exploitation optimale de l'information, la fidélité, le travail en "vraie" 3D, la prise en compte de la dimension temporelle et l'exploitation des complémentarités entre données et entre méthodologies. Le manuscrit aborde enfin deux thèmes transversaux aux précédents : l'optimisation et le passage à l'échelle. Note de contenu : Partie 1 Synthèse Scientifique
1 Introduction
1.1 Analyse et reconstruction de scènes urbaines
1.2 Données d'étude
1.3 Périmètre méthodologique
1.4 Enjeux
2 Synthèse des travaux
2.1 Thématiques
2.2 Synthèse des travaux
3 Perspectives et conclusion
3.1 Remise en géométrie en ligne
3.2 Passage à l'échelle
3.3 Incertitudes
3.4 Mise à jour
3.5 La 3D
3.6 La 4D
3.7 Conclusion
Partie 2 Curriculum Vitae
4 Parcours scolaire et professionnel
5 Encadrement et enseignement
5.1 Stages encadrés
5.2 Thèses encadrées
5.3 Encadrements d'ingénieurs
5.4 Encadrements de post doctorants
5.5 Enseignement
5.6 Projets d'étudiants
6 Projets
6.1 TerraNumerica
6.2 ePLU
6.3 iSpace&Time
6.4 eFusion
6.5 TerraMobilita
6.6 iQmulus
6.7 Li3DS
6.8 Platinum
7 Diffusion
7.1 Animation scientifique
7.2 Open data et benchmarks
7.3 Transfert
7.4 Expérimentations
7.5 Conclusion
8 Liste des Publications
8.1 Chapitres de livres
8.2 Articles de revues avec comité de lecture
8.3 Articles de conférences avec comité de lecture
8.4 Articles de conférences sans comité de lectureNuméro de notice : 15984 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : HDR Note de thèse : HDR : Sciences et Technologies de l’Information Géographique : UPE : 2016 Organisme de stage : MATIS (IGN) nature-HAL : HDR DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83746 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 15984-01 THESE Livre Centre de documentation Thèses Disponible 15984-02 THESE Livre Centre de documentation Thèses Disponible Documents numériques
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Analyse et reconstruction de scènes urbaines - HDR - pdf auteurAdobe Acrobat PDF Assessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)
Titre : Assessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area Type de document : Thèse/HDR Auteurs : Phil Wilkes, Auteur Editeur : Enschede [Pays Bas] : University of Twente Année de publication : 2016 Collection : ITC Dissertation num. 280 Importance : 180 p. ISBN/ISSN/EAN : 978-90-365-4038-4 Note générale : bibliographie
Dissertation to obtain the Double-Badged Degree of Doctor at the University of Twente, Enschede, The Netherlands; and RMIT University, Melbourne, AustraliaLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] allométrie
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] hauteur des arbres
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] ombre
[Termes IGN] placette d'échantillonnage
[Termes IGN] régression
[Termes IGN] semis de points
[Termes IGN] strate végétale
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] Victoria (Australie)Index. décimale : 33.80 Lasergrammétrie Résumé : (auteur) The attribution of forest structure forms an integral part of international monitoring and reporting obligations with regard to sustainable forest management. Furthermore, detailed information about forest structure allows land managers and forest scientists to determine a forests ability to provide ecosystems services. Currently, forest attribution is achieved using a network of forest inventory plots that are revisited periodically. This approach comprises a sparse sample, both temporally and spatially, that may not capture variance in forest structure. This is particularly true in dynamic native forests where variability in forest structure can be high. In recent years the capability of remote sensing techniques has been realised for sustainable forest management applications. Advantages of a remote sensing approach include synoptic and high temporal coverage as well as reduced costs to the end - user. Furthermore, recent advancement in active sensors, such as Light Detection and Ranging Instruments (LiDAR) have allowed for detailed three - dimensional forest measurement of structure across large areas.
This thesis presents new metrics, techniques and acquisition specifications for the attribution of forest canopy over large areas (e.g. comprising two or more forest types where forest structure maybe unknown a priori) using active and passive remote sensing. In particular, the focus is on attributes that quantify the vertical structure of forests; canopy height and canopy vertical structure. Canopy height is a commonly measured multipurpose attribute that is utilised, for example, to estimate biomass. Attribution of the canopy height profile, although less common, is important for mapping habitat suitability, biomass and fire susceptibility. Current techniques to attribute forests tend to be tailored to a particular forest type or location and therefore application of these models across large areas is unreliable. Here the aim is to develop metrics and techniques that are transferable between different forest types and applicable to forests where there is no prior knowledge of forest structure.
Here a multi - scale remote sensing approach was taken, where plot scale measurements were upscaled to attribute large areas. Initially, existing LiDAR derived metrics applicable at the plot scale were tested at three 5 km x 5 km study areas in Victoria, Australia where forests cover a broad range of structural types. Results indicate existing metrics of canopy height were applicable across the range of forest types, for example the 95 th percentile of LiDAR derived height estimated inventory measured canopy height with a RMSE of 12% (~5 m). An existing mixture modelling technique to attribute the canopy height profile was found unsuitable when applied across heterogeneously forested landscape. This was due to the inability to parameterise the model correctly without a priori knowledge of forest structure e.g. presence or absence of shade tolerant layers. For this reason a new technique was developed utilising a nonparametric regression of LiDAR derived gap probability that generalised the canopy profile. Taking the second derivative of the regression curve identified locations within the canopy that correspond with canopy strata, this therefore allowed a dynamic attribution of canopy vertical structure. Model output was validated with a crown volume modelling approach at 24 plots, where crown models were parameterised with inventory data and allometry. Results indicate this technique can estimate the number of canopy strata with a RMSE of 0. 41 strata. Furthermore, the new technique met the transferability criteria , as a universal regression coefficient was transferable between forest types with different structural attributes.
As LiDAR acquisition that cover large areas will inevitably encounter a range of forest types, parameters for attributing canopy structure that were transferable between forest types were investigated; in particular sampling frequency. To effectively assess a range of pulse densities would require repeat capture over a study area at a range of flying heights , which would be prohibitively expensive. For this reason a new technique was developed that systematically thinned point clouds. This technique differs from previous approaches by allowing simulation of multi - return instruments as well as repeat capture of the same plot. Six sites from around Australia were utilised which covered a broad range of forest types, from open savanna to tropical rainforest. For a suite of metrics, the ability of progressively less dense point clouds ( 4 – 0. 05 pl m - 2 ) to estimate canopy structure was estimated by comparison with higher density data (10 pl m - 2 ). Results indicate that canopy structure can be adequately attributed with data captured at 0.5 pl m - 2 . When pulse densities are Techniques derived at the plot scale were then applied to estimate canopy height across 2.9 million hectares of heterogeneous forest. Canopy height in the study area ranged from 0 – 70 m and comprised forest types from open woodland to tall closed canopy rainforest. LiDAR derived canopy height was used to t rain ensemble regression tree s (random forest) , where predictor datasets included synoptic passive optical imagery and other ancillary spatial datasets , such as Landsat TM and MODIS. Results suggest canopy height can be estimated with a RMSE of 30% (5.5 m) when validated with an independent inventory dataset. This is a similar error to that reported in previous studies for less complex forests and is within the European Space Agency target for canopy height estimation. However, model output did show a systematic error, where the height of short and tall forests were over and underestimated respectively. This was corrected by subtracting a model led estimate of error from the random forest output. Production of a canopy height map over a large area allowed for a consistent product that covered a broad range of forest types, derivation at a 30 m resolution allowed the identification of landscape features such as logging coupes. The presented technique utilised an open source computing framework as well as freely available predictor datasets to facilitate uptake of by land management agencies and forest scientists.Note de contenu : Chapter 1 : Introduction
1.1. General introduction
1.2. Problem statement
1.3. Research questions
1.4. Thesis structure
Chapter 2 : Metrics of canopy vertical structure suitable for large area forest attribution
2.1. Introduction
2.1.1. Canopy height
2.1.2. Canopy vertical structure
2.1.3. Aims and objectives
2.2. Materials and methods
2.2.1. Study area
2.2.2. Forest inventory data
2.2.3. Airborne laser scanning data
2.3. Data processing
2.3.1. Canopy height
2.3.2. Canopy vertical structure
2.4. Results
2.4.1. Canopy height
2.4.2. Canopy height profiles
2.5. Discussion
2.6. Conclusion
Chapter 3 : Using discrete-return ALS to quantify number of canopy strata across diverse forest types
3.1. Introduction
3.2. Attributing canopy vertical structure
3.3. Application across a diverse forested landscape
3.3.1. ALS acquisition and preprocessing
3.3.2. Pgap from ALS
3.3.3. Derivation of smoothing coefficient (α)
3.3.4. Bootstrapping simulated point clouds
3.3.5. Validation with field inventory
3.4. Results and Discussion
3.4.1. Methodology evaluation
3.4.2. Validation results
3.4.3. Canopy vertical structure as an independent metric
3.5. Conclusion
Chapter 4 : Understanding the effects of ALS pulse density for metric retrieval across diverse forest types
4.1. Introduction
4.2. Method
4.2.1. Study area and data capture
4.2.2. Data processing
4.2.3. Metrics
4.3. Results
4.3.1. Canopy height
4.3.2. Canopy cover
4.3.3. Canopy vertical structure
4.3.4. Characteristics of thinned point clouds
4.4. Discussion
4.5. Conclusion
Chapter 5 : Mapping forest canopy height across large areas by upscaling ALS estimates with freely available satellite data
5.1. Introduction
5.2. Materials and methods
5.3. Results
5.3.1. Canopy height estimation
5.3.2. Validation with inventory data
5.3.3. Training and validation of random forest using smaller geographic areas
5.3.4. Simulating disparate ALS capture for training a random forest
5.4. Discussion
5.5. Conclusions
Chapter 6 : Summary and synthesis
6.1. Summary of results
6.2. Identifying trends in large area forest structure
6.3. Remote sensing in sustainable forest management: a future perspectiveNuméro de notice : 17249 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse étrangère Note de thèse : PhD thesis : Remote sensing : Twente : 2016 Organisme de stage : RMIT DOI : sans En ligne : http://www.itc.nl/library/papers_2016/phd/wilkes.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81928
Titre : Automatisation du nettoyage de nuages de points Type de document : Mémoire Auteurs : Yohan Pensier, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2016 Importance : 71 p. Format : 21 x 30 cm Note générale : Bibliographie
mastère Photogrammétrie, positionnement et mesures de déformationsLangues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] 3DReshaper
[Termes IGN] C++
[Termes IGN] contrôle qualité
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] effet de bord
[Termes IGN] filtrage du bruit
[Termes IGN] lancer de rayons
[Termes IGN] modélisation 3D
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] précision centimétrique
[Termes IGN] réseau ferroviaire
[Termes IGN] semis de points
[Termes IGN] valeur aberranteIndex. décimale : MPPMD Mémoires du mastère spécialisé Photogrammétrie, Positionnement et Mesures de Déformation Résumé : (Auteur) La division Assistance Travaux et Topographie (ATT) de la direction d’ingénierie et projet de SNCF Réseau réalise et pilote des opérations de levé topographiques 3D (voies, gares, …). À ce titre, elle a également pour mission d’effectuer le contrôle qualité des données livrées par les différents prestataires. Afin de pouvoir répondre rapidement à ces missions de grande échelle, un nombre important de techniques émergentes est déployé en complément de la topographie traditionnelle, notamment, le scanner laser dynamique ferroporté. La donnée 3D obtenue par ce type d’appareil est exhaustive, sauf en cas de masques, mais peut contenir des artefacts de mesures (bruits, points fantômes, …). Le stage réalisé devait donc permettre de : - Intégrer les usages de nettoyages de nuages de points de SNCF Réseau ; - Proposer et implémenter des filtres mathématiques pour automatiser le nettoyage des nuages de points (détection de points aberrants, comparaison de nuages, segmentation et classification du nuage de points, …) et les mettre en oeuvre en les intégrant dans les chaînes de traitement actuelles ; - Proposer une méthodologie applicable sur des zones très étendues (environ 100 km linéaires). Note de contenu : 1. APPROCHE INITIALE
1.1 Cadre du stage
1.2. Principes du levé LIDAR en milieu ferroviaire
1.3. Évaluation de l’existant
2. NETTOYAGE SEMI-AUTOMATIQUE DES NUAGES DE POINTS STATIQUES
2.1. Le logiciel 3DReshaper
2.2. Présentation du programme « filtrage_auto »
2.3. Résultats obtenus
3. AUTOMATISATION DU NETTOYAGE DE SCANS DYNAMIQUES
3.1. Méthode mathématique retenue
3.2. Le programme « Top_Gun »
3.3. Exemple de traitement
ConclusionNuméro de notice : 22662 Affiliation des auteurs : IGN (2012-2019) Thématique : IMAGERIE Nature : Mémoire PPMD Organisme de stage : SNCF Réseau Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84007 Documents numériques
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22662_Automatisation du nettoyage de nuages de points.pdfAdobe Acrobat PDF Autonomous navigation in complex nonplanar environments based on laser ranging / Philipp Andreas Krüsi (2016)
Titre : Autonomous navigation in complex nonplanar environments based on laser ranging Type de document : Thèse/HDR Auteurs : Philipp Andreas Krüsi, Auteur Editeur : Zurich : Eidgenossische Technische Hochschule ETH - Ecole Polytechnique Fédérale de Zurich EPFZ Année de publication : 2016 Note générale : bibliographie
A thesis submitted to attain the degree of doctor of sciences of ETH ZurichLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme ICP
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] navigation autonome
[Termes IGN] robot mobile
[Termes IGN] semis de points
[Termes IGN] télémètre laser
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestre
[Termes IGN] temps réel
[Termes IGN] vision par ordinateurRésumé : (auteur) This thesis addresses the problem of autonomous navigation with ground robots in complex environments, which may be characterized as nonplanar and nonstatic. The goal of the presented research is to enable reliable navigation over large distances in generic indoor and outdoor environments, independent of external localization sources such as a global positioning system (GPS). Focusing on these challenges, algorithms for all building blocks of autonomous navigation—localization, mapping, terrain assessment, motion planning, and motion control—are developed, implemented, integrated, and finally evaluated in extensive field experiments. Sensor-based perception of the environment is a basic requirement for localization and mapping. We propose to use a high-frequency three-dimensional (3D) laser scanner as the main exteroceptive sensor. The advantages of this technology lie in the high density and accuracy of the provided measurements, and their independence of lighting and weather conditions. We develop a highly scalable system for six-dimensional (6D) localization and 3D mapping based on iterative closest point (ICP) matching. A topological/metric map representation, where metric information is kept in spatially constrained local submaps representing vertices in a graph, allows to build consistent large-scale maps without requiring global optimization. Long-term application in dynamic and changing environments is enabled by integrating methods for identifying dynamic objects in the scene and for continuously updating existing submaps. Planning feasible and safe motions for a robotic vehicle requires distinguishing obstacles from traversable terrain. We develop two different algorithms for terrain assessment. The first method is targeted at real-time obstacle detection in the vicinity of the robot. Assuming locally planar terrain, a grid-based obstacle map is built by analyzing the raw laser scans. The second approach is based on dense point cloud maps (which can be obtained from the ICP mapping system) and suitable for planar and nonplanar environments. The algorithm computes the geometry and the traversability of the terrain “on demand” at specific query locations, avoiding any artificial discretization or explicit surface reconstruction. The desired terrain characteristics are estimated based on statistics on the local distribution of map points. Given a specific navigation task, motion planning can be defined as the problem of reasoning about how to act based on the knowledge about the environment. This thesis addresses both local obstacle avoidance and global planning over large distances. Our approach to local planning consists of computing a set of candidate trajectories, which are shaped around nearby obstacles or along a given reference path, and enforced to satisfy the robot’s kinematic constraints. The optimal local trajectory is chosen by evaluating the motion alternatives in terms of guidance towards the goal and traversability of the underlying terrain. For global motion planning, we develop an algorithm embedding the proposed point-cloud-based terrain assessment method, which allows trajectories to be directly planned on 3D point cloud maps. The approach is designed to be suitable for generic nonplanar environments, including rough outdoor terrain, multi-level facilities, and more complex geometries. Piecewise continuous trajectories are computed in the full 6D space of robot poses, while strictly considering the vehicle’s kinematic and dynamic constraints. We apply sampling-based planning algorithms to generate an initial trajectory connecting the desired start and goal poses. Subsequently, the trajectory is locally optimized according to a generic cost function, which may include path length, path curvature, and roughness of the traversed terrain. While enforcing the hard constraints to remain satisfied (terrain contact, traversability, kinodynamic feasibility), the trajectory is iteratively deformed until a local minimum of the cost function is reached. We develop two complete systems for autonomous navigation, integrating these approaches. Combining the ICP-based localization and mapping framework with local obstacle detection and local motion planning, we implement a framework for autonomous route following, commonly referred to as teach and repeat (T&R). After a manually controlled teach run, where a graph of local submaps is built, the robot is able to automatically repeat the learned route, using the recorded maps for localization. Unlike classical T&R systems, our framework is suitable for application in dynamic environments, where the integrated obstacle avoidance scheme allows to detect and circumnavigate obstacles appearing on the reference path. In addition to the T&R approach, we present a second navigation system, integrating the point-cloud-based terrain assessment and global planning algorithms with ICP-based localization and mapping. Given a graph of point cloud maps—typically recorded in a manually controlled survey run—the framework enables navigation within the mapped area without being restricted to known routes. Motion control is implemented by a trajectory tracking controller with integrated real-time collision checking. Together with continuous map updates and frequent replanning of the global trajectory, these techniques enable autonomous navigation in nonplanar, nonstatic environments. Finally, we describe the characteristics of the mobile robot ARTOR, which was set up for the purpose of testing and evaluating the developed algorithms under realistic conditions. ARTOR consists of a six-wheeled, electrically powered base vehicle equipped with sensors, computers, and communication gear. The proposed autonomous navigation algorithms were integrated on the robot and tested in extensive field experiments, demonstrating reliable, GPS-independent navigation over large distances and under greatly varying environmental conditions, in unstructured off-road terrain, multi-level environments, and dynamic urban areas. Numéro de notice : 17367 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Thèse étrangère Note de thèse : PhD thesis : Sciences : ETH Zurich : 2016 En ligne : http://dx.doi.org/10.3929/ethz-a-010656081 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84243 A comprehensive cartographic approach to evacuation map creation for Hurricane Ike in Galveston County, Texas / Yin-Hsuen Chen in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)
[article]
Titre : A comprehensive cartographic approach to evacuation map creation for Hurricane Ike in Galveston County, Texas Type de document : Article/Communication Auteurs : Yin-Hsuen Chen, Auteur ; Stephanie E. Zick, Auteur ; Adam R. Benjamin, Auteur Année de publication : 2016 Article en page(s) : pp 68 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données lidar
[Termes IGN] lecture de carte
[Termes IGN] méthodologie
[Termes IGN] modèle numérique de surface
[Termes IGN] outil d'aide à la décision
[Termes IGN] risque naturel
[Termes IGN] style cartographique
[Termes IGN] système d'information géographique
[Termes IGN] tempête
[Termes IGN] vitesse
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Hurricane evacuation maps raise awareness of the risks associated with potential inundation from storm surge and provide evacuation route information to residents leaving their residences for safety. To create the most effective hurricane evacuation map for communicating risk to the public, cartographic best practices must be integrated into the evacuation map visualization. This study addresses a current gap in the scientific literature by integrating cartographic best practices for color choice, symbol choice, and positive messaging, together with a complete GIS-based workflow utilizing LiDAR-derived digital elevation models, Sea, Lake and Overland Surges from Hurricanes (SLOSH) storm surge products, and vector shapefiles for creating hurricane evacuation maps. To evaluate the methodology, the primary study site was Galveston County, Texas, during Hurricane Ike in September 2008. The typical workflow for county and municipal emergency managers is to create pre-hurricane season generalized evacuation maps. This study shows that the probabilistic storm surge SLOSH forecasts can be seamlessly implemented in the 72–48 hours prior to a storm surge event to provide specialized evacuation maps that incorporate hurricane-specific parameters and more accurately show risk to residents. To verify the Hurricane Ike workflow, a secondary study site in Harrison County, Mississippi, was used to evaluate Hurricane Isaac in August 2012. This study provides a comprehensive cartographic methodology for evacuation zone mapping when the US coastline is threatened by a landfalling hurricane. Numéro de notice : A2016-111 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1014426 En ligne : https://doi.org/10.1080/15230406.2015.1014426 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79930
in Cartography and Geographic Information Science > Vol 43 n° 1 (January 2016) . - pp 68 - 85[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Correction de nuages de points lidar embarqué sur véhicule pour la reconstruction d’environnement 3D vaste / Pierre Merriaux (2016)PermalinkDetection and labeling of sensitive areas in hydrological cartography using vector statistics / Elia Quirós in IEEE Transactions on geoscience and remote sensing, vol 54 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)PermalinkPermalinkEstimating over- and understorey canopy density of temperate mixed stands by airborne LiDAR data / Hooman Latifi in Forestry, an international journal of forest research, vol 89 n° 1 (January 2016)PermalinkForest stand segmentation using airborne lidar data and very high resolution multispectral imagery / Clément Dechesne (2016)PermalinkGeovisualisation of animated tides in coastal area with an OpenSource OpenGL platform / Antoine Masse (2016)PermalinkGini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure / Rubén Valbuena in Ecological indicators, vol 60 (January 2016)PermalinkInverse procedural Street Modelling: from interactive to automatic reconstruction / Rémi Cura (2016)PermalinkJean-François Renard, Mohamed Ben Zekri, responsables géomatique chez Suez Environnement / Anonyme in Géomatique expert, n° 108 (janvier - février 2016)PermalinkLand Surface Remote Sensing in Urban and Coastal Areas, 2. Urban scene analysis with mobile mapping technology / Bruno Vallet (2016)PermalinkLaser scanner in a backpack / Antero Kukko in GIM international, vol 30 n° 1 (January 2016)PermalinkMaking spatial decisions using GIS and lidar / Kathryn Keranen (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)PermalinkObserved changes in the Earth’s dynamic oblateness from GRACE data and geophysical models / Y. Sun in Journal of geodesy, vol 90 n° 1 (January 2016)PermalinkPhotogrammetric computer vision / Wolfgang Förstner (2016)PermalinkPermalinkQGIS 2 cookbook / Alex Mandel (2016)PermalinkRealtime 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)PermalinkPermalinkSIG, modélisation 3D et BIM : une complémentarité indispensable (1) / Hervé Halbout in Géomatique expert, n° 108 (janvier - février 2016)PermalinkSimulating surface buildability to assess land prices based on 3D geodata and urban rules / Mickaël Brasebin (2016)PermalinkPermalinkDes Systèmes d’Information Géographiques à une Information Spatiale Sémantisée. Focus sur la topologie des vecteurs / Nathalie Abadie (2016)PermalinkThe future of disaster response management / Krista Montgomery in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)PermalinkThe iQmulus urban showcase: automatic tree classification and identification in huge mobile mapping point clouds / Jan Böhm (2016)PermalinkPermalinkPermalinkPermalinkPermalinkVocabulaires et métadonnées pour la publication de données géographiques vectorielles sur le Web de données / Nathalie Abadie (2016)Permalink3D laser scanning for heritage / Paul Bryan in Geoinformatics, vol 18 n° 8 (December 2015)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)PermalinkCanopy density model: A new ALS-derived product to generate multilayer crown cover maps / António Ferraz in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)PermalinkDevelopment of a 3D underground cadastral system with indoor mapping for as-built BIM: the case study of Gangnam subway station in Korea / Kim Sangmin in Sensors, vol 15 n° 12 (December 2015)PermalinkFusion of multi-scale DEMs using a regularized super-resolution method / Linwei Yue in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)PermalinkA novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification / Tao Liu in ISPRS Journal of photogrammetry and remote sensing, vol 110 (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)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)PermalinkSemi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (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)Permalink