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Termes IGN > sciences naturelles > physique > traitement d'image > photogrammétrie > photogrammétrie numérique > modèle numérique de surface
modèle numérique de surfaceSynonyme(s)modèle numérique d'élévation ;modèle numérique d'altitude ;MNE ;MNA ;DEM MNSVoir aussi |
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Auscultation de l'état de surface de revêtements routiers par photogrammétrie automatisée / Gildas Allaz in Géomatique suisse, vol 114 n° 1 (janvier 2016)
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Titre : Auscultation de l'état de surface de revêtements routiers par photogrammétrie automatisée Type de document : Article/Communication Auteurs : Gildas Allaz, Auteur ; Michel Kasser , Auteur
Année de publication : 2016 Article en page(s) : pp 11 - 15 Langues : Français (fre) Allemand (ger) Italien (ita) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] aérotriangulation
[Termes IGN] ArcGIS
[Termes IGN] caméra numérique
[Termes IGN] chaussée
[Termes IGN] état de surface
[Termes IGN] interopérabilité
[Termes IGN] modèle numérique de surface
[Termes IGN] orthophotographie
[Termes IGN] outil d'aide à la décision
[Termes IGN] photogrammétrie numérique
[Termes IGN] précision millimétrique
[Termes IGN] routeRésumé : (Auteur) Les développements récents en matière de photogrammétrie permettent d'établir une méthodologie automatisée de relevé de l'état de surface des chaussées. Il est maintenant non seulement possible de générer une orthophoto et un MNS mais aussi de détecter et d'évaluer les dégradations et déformations des revêtements, le tout à un coût très faible. Numéro de notice : A2016-150 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5169/seals-587090 En ligne : http://doi.org/10.5169/seals-587090 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80358
in Géomatique suisse > vol 114 n° 1 (janvier 2016) . - pp 11 - 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 136-2016011 RAB Revue Centre de documentation En réserve L003 Disponible 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)
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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]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Development of a SGM-based multi-view reconstruction framework for aerial imagery / Mathias Rothermel (2016)
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Titre : Development of a SGM-based multi-view reconstruction framework for aerial imagery Type de document : Thèse/HDR Auteurs : Mathias Rothermel, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2016 Autre Editeur : Stuttgart : University of Stuttgart Collection : DGK - C, ISSN 0065-5325 num. 792 Importance : 115 p. ISBN/ISSN/EAN : 978-3-7696-5204-8 Note générale : bibliographie
PhD dissertationLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] carte de profondeur
[Termes IGN] image aérienne
[Termes IGN] image aérienne oblique
[Termes IGN] image oblique
[Termes IGN] modèle numérique de surface
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] reconstruction 3D
[Termes IGN] scène
[Termes IGN] SURERésumé : (auteur) Advances in the technology of digital airborne camera systems allow for the observation of surfaces with sampling rates in the range of a few centimeters. In combination with novel matching approaches, which estimate depth information for virtually every pixel, surface reconstructions of impressive density and precision can be generated. Therefore, image based surface generation meanwhile is a serious alternative to LiDAR based data collection for many applications. Surface models serve as primary base for geographic products as for example map creation, production of true-ortho photos or visualization purposes within the framework of virtual globes. The goal of the presented theses is the development of a framework for the fully automatic generation of 3D surface models based on aerial images - both standard nadir as well as oblique views. This comprises several challenges. On the one hand dimensions of aerial imagery is consider-able and the extend of the areas to be reconstructed can encompass whole countries. Beside scalability of methods this also requires decent processing times and efficient handling of the given hardware resources. Moreover, beside high precision requirements, a high degree of automation has to be guaranteed to limit manual interaction as much as possible. Due to the advantages of scalability, a stereo method is utilized in the presented thesis. The approach for dense stereo is based on an adapted version of the semi global matching (SGM) algorithm. Following a hierarchical approach corresponding image regions and meaningful disparity search ranges are identified. It will be verified that, dependent on undulations of the scene, time and memory demands can be reduced significantly, by up to 90% within some of the conducted tests. This enables the processing of aerial datasets on standard desktop machines in reasonable times even for large fields of depth. Stereo approaches generate disparity or depth maps, in which redundant depth information is available. To exploit this redundancy, a method for the refinement of stereo correspondences is proposed. Thereby redundant observations across stereo models are identified, checked for geometric consistency and their reprojection error is minimized. This way outliers are removed and precision of depth estimates is improved. In order to generate consistent surfaces, two algorithms for depth map fusion were developed. The first fusion strategy aims for the generation of 2.5D height models, also known as digital surface models (DSM). The proposed method improves existing methods regarding quality in areas of depth discontinuities, for example at roof edges. Utilizing benchmarks designed for the evaluation of image based DSM generation we show that the developed approaches favorably compare to state-of-the-art algorithms and that height precisions of few GSDs can be achieved. Furthermore, methods for the derivation of meshes based on DSM data are discussed. The fusion of depth maps for 3D scenes, as e.g. frequently required during evaluation of high resolution oblique aerial images in complex urban environments, demands for a different approach since scenes can in general riot be represented as height fields. Moreover, depths across depth maps possess varying precision and sampling rates due to variances in image scale, errors in orientation and other effects. Within this thesis a median-based fusion methodology is proposed. By using geometry-adaptive triangulation of depth maps depth-wise normal arc extracted and, along the point coordinates are filtered and fused using tree structures. The outputs of this method are oriented points which then can be used to generate meshes. Precision and density of the method will be evaluated using established multi-view benchmarks. Beside the capability to process close range datasets, results for large oblique airborne data sets will be presented. The report closes with a summary, discussion of limitations and perspectives regarding improvements and enhancements. The implemented algorithms are core elements of the commercial software package SURE, which is freely available for scientific purposes. Numéro de notice : 17371 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : Dissertation : Photogrammetrische Bildverarbeitung : Stuttgart : 2016 En ligne : https://elib.uni-stuttgart.de/handle/11682/9067 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84247 Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring / Martina Porfiri (2016)
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Titre : Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring Type de document : Thèse/HDR Auteurs : Martina Porfiri, Auteur ; Mattia Crespi, Auteur ; Laurent Ferro-Famil, Auteur Editeur : Rennes : Université de Rennes 1 Année de publication : 2016 Autre Editeur : Rennes : Université Bretagne Loire Importance : 137 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse de l'Université de Rennes 1 sous le sceau de l’Université Bretagne Loire, En Cotutelle Internationale avec l'Université de Rome 1 « La Sapienza », Traitement du signal et télécommunications.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection de changement
[Termes IGN] distorsion d'image
[Termes IGN] image à haute résolution
[Termes IGN] image radar moirée
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] Paris (75)
[Termes IGN] polarisation
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] réflectivité
[Termes IGN] semis de points
[Termes IGN] tomographie radarIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The urbanization and the management of urban environment and its periphery become one of the most crucial issues in developed and developing countries. In these circumstances, remote sensing data are an important source of information that reflects interactions between human beings and their environment. Given their complete independence from logistic constraints on the ground, illumination (daylight), and weather (clouds) conditions, Synthetic Aperture Radar (SAR) satellite systems may provide important contributions in complex environments 3-D reconstruction. The new generation of high resolution SAR sensors as COSMO-SkyMed, TerraSAR-X and RADARSAT-2 allowed to acquire high resolution SAR imagery. Here the attention is put on the 3-D imaging technique called SAR Tomography: starting from a stack of images collected using multibaseline data performed in interferometric configuration, such a technique allows to retrieve height information forming a synthetic aperture in the elevation direction in order to achieve a substantially improved resolution. The present PhD thesis is focused on the high potentialities of tomographic techniques in 3-D change monitoring and characterization for complex and dense built-up areas using basic mono-dimensional estimators as Beamforming, Capon and MUSIC combined to very high satellite SAR resolution imagery. 2-D and 3-D analysis have been presented over the urban area of Paris using TerraSAR-X data at high resolution and single polarisation. Being mainly focused on the 3-D tomographic techniques, in the presented work 4-D methods, such as compressive sensing (CS), have not been taken into account. At first, the analysis of the interferometric quality of the processed data set has been performed and results showed good mean coherence values within the entire stack. The extraction of 2-D tomograms over different azimuth-profile has showed the capabilities to distinguish more than one scatterer within the same resolution cell and to reconstruct the vertical building profiles. Successively, a global 3-D characterization both in term of buildings heights and vertical reflectivity has been performed in order to develop a monitoring tool for the changes of single structures. Moreover, the possibility to correct the geometric distortions due to the layover (that strongly affects such kind of scenarios) and to determine the information about the number of scatterers (up to three) and the corresponding reflectivity within one resolution cell have been evaluated. Moreover an innovative time stability analysis of the observed scene have been carried out in order to detect the stable and unstable scatterers. Globally, the investigations showed noisier and sparser point clouds for the Capon method, whereas better capabilities for the Beamforming and MUSIC ones. Indeed, it was possible to detect different scatterers located within the same resolution cell and to resolve pixels affected by the layover. This has lead to perform a good reconstruction of building shape and location and a good estimation of their elevation. The 3-D time stability analysis demonstrated the possibility to monitor the 3-D change depending on the time. Eventually, it is possible to assert that processing high resolution SAR data allows to achieve a strong improvement in 3-D imaging capabilities. It has been demonstrated the potentialities of TomoSAR technique in distortions correction and in 3-D change monitoring using basic mono-dimensional estimators. Note de contenu : 1- Introduction
2- SAR: Synthetic Aperture Radar
3- 3-D SAR imaging
4- SAR Tomography
5- 2-D analysis and results
6- 3-D analysis and results
7- Conclusions and outlookNuméro de notice : 25879 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Traitement du signal et télécommunications : Université Bretagne Loire : 2016 Organisme de stage : Institut d’Electronique et de Télécommunications de Rennes nature-HAL : Thèse DOI : sans En ligne : http://www.theses.fr/2016REN1S035 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95690 Fusion of hyperspectral images and digital surface models for urban object extraction / Janja Avbelj (2016)
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Titre : Fusion of hyperspectral images and digital surface models for urban object extraction Type de document : Thèse/HDR Auteurs : Janja Avbelj, Auteur ; Xiaoxiang Zhu, Directeur de thèse Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2016 Collection : DGK - C, ISSN 0065-5325 num. 771 Importance : 143 p. ISBN/ISSN/EAN : 978-3-7696-5183-6 Note générale : bibliographie
PhD DissertationLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] classification bayesienne
[Termes IGN] détection d'objet
[Termes IGN] extraction automatique
[Termes IGN] fusion de données
[Termes IGN] image hyperspectrale
[Termes IGN] modèle numérique de surface
[Termes IGN] optimisation (mathématiques)
[Termes IGN] polygone
[Termes IGN] rectangle englobant minimumRésumé : (auteur) Buildings are prominent objects of the constantly changing urban environment. Accurate and up to date Building Polygons (BP) are needed for a variety of applications, e.g. 3D city visualisation, micro climate forecast, and real estate databases. The increasing number of earth observation remote sensing images enables the development of methods for building extraction. For instance, Hyperspectral Images (HSI) are a source of information about the material of the objects in the scene, whereas the Digital Surface Models (DSM) carry information about height of the surface and of objects. Thus, complementary information from multi-modal images, such as HSI and DSM, is needed to provide better understanding of the observed objects. A variation in material and height is represented by an edge in HSI and DSM, respectively. Edges in an image carry large portions of information about the geometry of the objects, because they delineate the boundaries between them. Object extraction and delineation is more reliable if information content from HSI, DSM, and edge information is jointly accounted for. The focus in this thesis is on method development for BP extraction using complementary information from HSI and DSM by accounting for edge information. Furthermore, a new quality measure, which accounts for shape differences and geometric accuracy between extracted and reference polygons, is proposed. Object and edge detection from an image is meaningful only for some range of scales. Edge detection in scale space is motivated by showing that in the same image different edges appear at different scales. Instead of deterministic edge detection, edge probabilities are computed in a linear scale space. Bayesian fusion of edge probabilities is proposed, which employs a Gaussian mixture model. The scale, at which an edge probability is computed, is defined by a confidence probability. The impact of selecting mixing coefficients in the Gaussian mixture model according to a prior knowledge or by a fully automatic data-driven approach is investigated. Main limitations of joining the edge probabilities from different datasets are the coregistration between the datasets and the inaccuracies in the datasets. The rectilinear BP are adjusted by means of weighted least squares, where the weights are defined on the basis of joint edge probabilities. Two mathematical models for rectilinear BP are proposed, one with a strict rectilinearity constraint and the second one, which introduces a relaxed rectilinearity constraint through weighting. The experiments on synthetic images show that the model with strict constraint gives better results, if the BP under consideration are all rectilinear. Otherwise, the relaxed rectilinearity constraint through weighting balances better between the rectilinearity assumption and fitness to the data. The approximate BP are created by a Minimum Bounding Rectangle (MBR) method. A main contribution of the proposed iterative MBR method is the automatic selection of a level of complexity of MBR through analysis of a cost function. A metric for comparison of polygons and line segments, named PoLiS metric, is defined. It compares polygons with different number of vertices, is insensitive to the number of vertices on polygon's edges, is monotonic, and has a nearly linear response to small changes in translation, rotation, and scale. Its characteristics are discussed and compared to the commonly used measures for BP evaluation. In all experiments the BP are evaluated by computing the newly proposed PoLiS metric and quality rate. The feasibility of joining all the proposed methods in one workflow is shown through the experiment, which is carried out on 17 HSI-DSM dataset pairs with four different ground sampling distances. The main finding of the experiment is that joining the information from multi-modal images, i.e. HSI and DSM, results in better quality of the adjusted BP. For instance, even for datasets with 4 m ground sampling distance, the completeness, correctness and quality rate values of extracted BP are better than 0.83, 0.68, and 0.60. Inaccuracies of the images, such as holes in DSM or imperfect DSM for 1151 orthorectification, are influencing the accuracy and localisation of edge probabilities and consequently also the accuracy of adjusted BP. Note de contenu : bibliographie Numéro de notice : 19792 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : PhD Dissertation : Photogrammetry : Stuttgart : 2016 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85016 Documents numériques
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Fusion of Hyperspectral Images and Digital Surface Models for Urban Object ExtractionAdobe Acrobat PDFA merging solution for close-range DEMs to optimize surface coverage and measurement resolution / Stéphane Bertin in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 1 (January 2016)
PermalinkSurface-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)
PermalinkDEM measurements of a gravel-bed surface using two scales of images / Chi-Kuei Wang in Photogrammetric record, vol 30 n° 152 (December 2015 - February 2016)
PermalinkMeasuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])
PermalinkEvaluating the impact of leaf-on and leaf-off airborne laser scanning data on the estimation of forest inventory attributes with the area-based approach / Joanne C. White in Canadian Journal of Forest Research, vol 45 n° 11 (November 2015)
PermalinkApplying ASPRS accuracy standards to surveys from small unmanned aircraft systems (UAS) / Ken Whitehead in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
PermalinkSatellite based mapping and morphogenetic analysis of the landforms in the tertiary fold belts of parts of Tripura, India / Swati Singh in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)
PermalinkAnalysis of different methods for 3D reconstruction of natural surfaces from parallel-axes UAV images / Annette Eltner in Photogrammetric record, vol 30 n° 151 (September - November 2015)
PermalinkNote technique : Apport de la photogrammétrie au suivi topographique de la flèche littorale de Joal (Sénégal) / Mamadou Sadio in Photo interprétation, European journal of applied remote sensing, vol 51 n° 3 (septembre 2015)
PermalinkAutomatic registration of optical aerial imagery to a LiDAR point cloud for generation of city models / Bernard O. Abayowa in ISPRS Journal of photogrammetry and remote sensing, vol 106 (August 2015)
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