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Interactive HGIS platform union of Lublin (1569): A geomatic solution for discovering the Jagiellonian heritage of the city / Jakub Kuna in Journal of Cultural Heritage, vol 53 (January–February 2022)
[article]
Titre : Interactive HGIS platform union of Lublin (1569): A geomatic solution for discovering the Jagiellonian heritage of the city Type de document : Article/Communication Auteurs : Jakub Kuna, Auteur ; Jacek Jeremicz, Auteur ; Dagmara Kociuba, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 47 - 71 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] archives
[Termes IGN] base de données historiques
[Termes IGN] base de données orientée objet
[Termes IGN] base de données spatiotemporelles
[Termes IGN] carte ancienne
[Termes IGN] carte interactive
[Termes IGN] patrimoine culturel
[Termes IGN] Pologne
[Termes IGN] seizième siècle
[Termes IGN] système d'information historique
[Termes IGN] WebSIGRésumé : (auteur) Lublin in the period of the Lublin Union (1569) is an interdisciplinary research project conducted by the “Grodzka Gate – NN Theatre” Centre in Lublin as a part of the celebration of the 450th anniversary of signing the Union of Lublin Act - one of the most important historical events in 16th-century Europe, during which the Polish-Lithuanian Commonwealth was constituted. This paper aims to present the research process by which an innovative Historical GIS web platform, based on an object-orientated database design, was tested and refined. The portal uses four pillars of spatial-temporal databases (events, people, places, sources) to collect data and develop historical narratives presenting various events in the history of the city and the region. The idea behind the project was to develop an Internet portal that would acknowledge modern users with the historical event of the Union of Lublin from the perspective of the then resident of Lublin. What is known about the 16th-century Lublin? What did the city and its surroundings look like? Who lived in Lublin? Who used to visit it? What architectural elements and traces of cultural heritage have been saved to this day? The reconstruction of the 16th-century urban space was carried out using the retrogression method of 11 early plans and maps of Lublin, verified and supplemented with the latest archaeological findings, accurate architectural research (geo-radar, laser scanning) and an extensive archival query. Thanks to the Historical GIS technology, the research results have been published in the form of a universal platform (www.teatrnn.pl/unia-lubelska), with an interactive web-map of 16th-century Lublin (Google Maps API implementation) and modelling urban facilities with 3D technology (SketchUp & Unity). The designed technological solution is scalable, making it possible to search and combine individual records (e.g. person-event-address) as well as entire groups of records on higher hierarchical levels (social groups - sequences of events - multifaceted maps). The portal editing panel is dedicated to humanists (historians, journalists, sociologists, etc.) without specialist knowledge of GIS. The functions integrated with the CMS facilitate mapping the content collected in the database and embedding the narration in an adequate context of the historical space. As a result, editors preparing a thematic article have a searchable set of documents, facts, people and places at their disposal, and their task is to fill the narrative with descriptive content. This is a universal model for building deep maps and spatial narratives. Numéro de notice : A2022-373 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.culher.2021.11.001 Date de publication en ligne : 27/11/2021 En ligne : https://doi.org/10.1016/j.culher.2021.11.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100618
in Journal of Cultural Heritage > vol 53 (January–February 2022) . - pp 47 - 71[article]
Titre : Is map generalisation a computational cartography problem? Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2022 Projets : LostInZoom / Touya, Guillaume Conférence : CompCarto 2022, 1st workshop on Computational Cartography 19/05/2022 20/05/2022 Bonn Allemagne programme Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage profond
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] géomètrie algorithmique
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Map generalisation is one of the processes of map design, when the spatial data used to make the map is too detailed for the scale of the map. Map generalisation seeks to abstract and simplify this detailed spatial information to represent it on the map with a good legibility. Map generalisation involves different types of transformations: selection, simplification, displacement, aggregation, collapse, etc. Historically, computational geometry researchers greatly contributed to the automation of map generalisation by proposing algorithms to achieve some of these atomic transformations. But the research questions addressed by researchers on map generalisation have changed over the years, with the progress on the automation, and the changes in the way people use maps (apparition of multi-scale zoomable web maps). Is map generalisation still a computational cartography problem? To discuss this rhetorical question, this presentation illustrates the current issues of map generalisation, with past contribution of computational cartography and possible computational cartography problems. For instance, there are still needs for new specific algorithms, either because maps are much more diverse, or because the larger scale range calls for new transformations. As maps tend to mix elements of topographic maps and elements of schematized maps, computational cartography is also relevant to solve this task. Finally, as the current trend in map generalisation is the use of deep learning models, the presentation discusses the relevance of computational cartography techniques in this context. Numéro de notice : C2022-028 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Conférence invitée nature-HAL : Conf-Invitée DOI : sans En ligne : https://hal.science/hal-03677309v1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100959 Italian National Forest Inventory: Methods and results of the third survey / Patrizia Gasparini (2022)
Titre : Italian National Forest Inventory: Methods and results of the third survey Titre original : Inventario Nazionale delle Foreste e dei serbatoi forestali di carbonio : Metodi e risultati della terza indagine Type de document : Monographie Auteurs : Patrizia Gasparini, Auteur ; Lucio Di Cosmo, Auteur ; Antonio Floris, Auteur ; Davide De Laurentis, Auteur Editeur : Springer Nature Année de publication : 2022 Importance : 576 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-98678-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité végétale
[Termes IGN] changement climatique
[Termes IGN] défoliation
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] exploitation forestière
[Termes IGN] gestion forestière durable
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Italie
[Termes IGN] occupation du sol
[Termes IGN] placette d'échantillonnage
[Termes IGN] politique forestière
[Termes IGN] protection des forêts
[Termes IGN] puits de carbone
[Termes IGN] régénération (sylviculture)
[Termes IGN] santé des forêts
[Termes IGN] site Natura 2000
[Termes IGN] statistiques
[Termes IGN] utilisation du sol
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) This open access book deals with the methods and the results of the third Italian national forest inventory (INFC2015). Arma dei Carabinieri is entrusted with the realisation of the National Forest Inventory and with the decisions about the aims of the survey and data treatment. National forest inventories produce statistically based information on forests over country areas. Such information is used either at subnational or at supranational level in a great number of spheres and processes, included possibility to depict the status of the world forests. Italy conducted its first forest inventory in 1985 and in 2001 a permanent national forest inventory was launched to have periodically updated statistics. Due to the growing concern about the environment and especially the climate change, estimating forests carbon pools was a stated main objective and it was accordingly named Italian National Inventory of Forest and Forest Carbon Pools (INFC). The book begins with a description of the general organisation, the definitions, the methods and the estimation procedures. It proceeds showing the main estimates produced by INFC2015, in tables that are given in the book chapters. The estimates are presented through texts that introduce the subject matter, explain the way the related variables were surveyed and comment on the main outcomes with the help of graphics. The estimates presented include forest area, management and production, biodiversity and protection, forest health, protective and socio-economics functions. Role of forest in the carbon balance was analysed in a specific Chapter, as this is important for its role in the climate change mitigation. The book ends providing an understanding of the current dynamics of Italian forests by comparing the estimates obtained from INFC2005 and INFC2015, the last two national surveys. Note de contenu : 1- The Italian Forest Inventory in brief
2- Definitions and sampling design
3- Land use and land cover photointerpretation
4- Field assessment-survey protocols and data collection
5- Procedures for the estimation of forest inventory quantities
6- Plot level estimation procedures and models
7- Area and characteristics of Italian forests
8- Forest management and productive function
9- Biodiversity and protected wooded lands
10- Forest health
11- Protective function and primary designated management objective
12- Forest carbon stock
13- Changes of Italian forests over time captured by the National Forest InventoriesNuméro de notice : 24084 Affiliation des auteurs : non IGN Thématique : FORET Nature : Monographie DOI : 10.1007/978-3-030-98678-0 En ligne : https://doi.org/10.1007/978-3-030-98678-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102410 Jahresbericht 2021 des Bundesamtes für Kartographie und Geodäsie / Bundesamt für Kartographie und Geodäsie (2022)
Titre : Jahresbericht 2021 des Bundesamtes für Kartographie und Geodäsie Titre original : Annual report 2021 Federal Agency for Cartography and Geodesy Type de document : Rapport Auteurs : Bundesamt für Kartographie und Geodäsie, Auteur Editeur : Francfort sur le Main : Bundesamt für Kartographie und Geodäsie Année de publication : 2022 Importance : 22 p. Format : 21 x 30 cm Langues : Allemand (ger) Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] activité cartographique
[Termes IGN] activité géodésique
[Termes IGN] Allemagne
[Termes IGN] base de données localisées
[Termes IGN] géomatique
[Termes IGN] système de référence localNote de contenu : 1 Looking back: This was BKG´s year 2021
2 From the coast to the Alps: GNSS measurement campaign
3 The weather in space
4 Observing sea level in North Sea and Baltic Sea
5 The digital twin: all of Germany in 3D
6 Satellite data and images for federal institutionsNuméro de notice : 17744 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Rapport d'activité DOI : sans En ligne : https://sg.geodatenzentrum.de/web_public/gdz/schriften/BKG-Jahresbericht-2021.pd [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103113 Documents numériques
en open access
rapport 2021 - pdf éditeurAdobe Acrobat PDF
Titre : Learning to represent and reconstruct 3D deformable objects Type de document : Thèse/HDR Auteurs : Jan Bednarik, Auteur ; Pascal Fua, Directeur de thèse ; M. Salzmann, Directeur de thèse Editeur : Lausanne : Ecole Polytechnique Fédérale de Lausanne EPFL Année de publication : 2022 Importance : 138 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse présentée pour l'obtention du grade de Docteur ès Sciences, Ecole Polytechnique Fédérale de LausanneLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement de formes
[Termes IGN] apprentissage profond
[Termes IGN] cohérence temporelle
[Termes IGN] déformation de surface
[Termes IGN] distorsion d'image
[Termes IGN] géométrie de Riemann
[Termes IGN] image 3D
[Termes IGN] reconstruction d'objet
[Termes IGN] semis de points
[Termes IGN] vision par ordinateurIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Representing and reconstructing 3D deformable shapes are two tightly linked problems that have long been studied within the computer vision field. Deformable shapes are truly ubiquitous in the real world, whether be it specific object classes such as humans, garments and animals or more abstract ones such as generic materials deforming under stress caused by an external force. Truly practical computer vision algorithms must be able to understand the shapes of objects in the observed scenes to unlock the wide spectrum of much sought after applications ranging from virtual try-on to automated surgeries. Automatic shape reconstruction, however, is known to be an ill-posed problem, especially in the common scenario of a single image input. Therefore, the modern approaches rely on deep learning paradigm which has proven to be extremely effective even for the severely under-constrained computer vision problems. We, too, exploit the success of data-driven approaches, however, we also show that generic deep learning models can greatly benefit from being combined with explicit knowledge originating in traditional computational geometry. We analyze the use of various 3D shape representations for deformable object reconstruction and we distinctly focus on one of them, the atlas-based representation, which turns out to be especially suitable for modeling deformable shapes and which we further improve and extend to yield higher quality reconstructions. The atlas-based representation models the surfaces as an ensemble of continuous functions and thus allows for arbitrary resolution and analytical surface analysis. We identify major shortcomings of the base formulation, namely the infamous phenomena of patch collapse, patch overlap and arbitrarily strong mapping distortions, and we propose novel regularizers based on analytically computed properties of the reconstructed surfaces. Our approach counteracts the aforementioned drawbacks while yielding higher reconstruction accuracy in terms of surface normals on the tasks of single view-reconstruction, shape completion and point cloud auto-encoding. We dive into the problematics of atlas-based shape representation even deeper and focus on another pressing design flaw, the global inconsistency among the individual mappings. While the inconsistency is not reflected in the traditional reconstruction accuracy quantitative metrics, it is detrimental to the visual quality of the reconstructed surfaces. Specifically, we design loss functions encouraging intercommunication among the individual mappings which pushes the resulting surface towards a C1 smooth function. Our experiments on the tasks of single-view reconstruction and point cloud auto-encoding reveal that our method significantly improves the visual quality when compared to the baselines. Furthermore, we adapt the atlas-based representation and the related training procedure so that it could model a full sequence of a deforming object in a temporally-consistent way. In other words, the goal is to produce such reconstruction where each surface point always represents the same semantic point on the target ground-truth surface. To achieve such behavior, we note that if each surface point deforms close-to-isometrically, its semantic location likely remains unchanged. Practically, we make use of the Riemannian metric which is computed analytically on the surfaces, and force it to remain point-wise constant throughout the sequence. Our experimental results reveal that our method yields state-of-the-art results on the task of unsupervised dense shape correspondence estimation, while also improving the visual reconstruction quality. Finally, we look into a particular problem of monocular texture-less deformable shape reconstruction, an instance of the Shape-from-Shading problem. We propose a multi-task learning approach which takes an RGB image of an unknown object as the input and jointly produces a normal map, a depth map and a mesh corresponding to the observed part of the surface. We show that forcing the model to produce multiple different 3D representations of the same objects results in higher reconstruction quality. To train the network, we acquire a large real-world annotated dataset of texture-less deforming objects and we release it for public use. Finally, we prove through experiments that our approach outperforms a previous optimization based method on the single-view-reconstruction task. Note de contenu : 1- Introduction
2- Related work
3- Atlas-based representation for deformable shape reconstruction
4- Shape reconstruction by learning differentiable surface representations
5- Better patch stitching for parametric surface reconstruction
6- Temporally-consistent surface reconstruction using metrically-consistent atlases
7- Learning to reconstruct texture-less deformable surfaces from a single view
8- ConclusionNuméro de notice : 15761 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : Thèse de Doctorat : Sciences : Lausanne, EPFL : 2022 DOI : 10.5075/epfl-thesis-7974 En ligne : https://doi.org/10.5075/epfl-thesis-7974 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100958 A method to produce metadata describing and assessing the quality of spatial landmark datasets in mountain area / Marie-Dominique Van Damme (2022)PermalinkMLMT-CNN for object detection and segmentation in multi-layer and multi-spectral images / Majedaldein Almahasneh in Machine Vision and Applications, vol 33 n° 1 (January 2022)PermalinkPermalinkMulti-criteria geographic analysis for automated cartographic generalization / Guillaume Touya in Cartographic journal (the), vol 59 n° 1 (February 2022)PermalinkNovel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation / Hang Zhang in Pattern recognition, vol 121 (January 2022)PermalinkPhotogrammetric 3D mobile mapping of rail tracks / Philipp Glira in ISPRS Journal of photogrammetry and remote sensing, vol 183 (January 2022)PermalinkPermalinkPermalinkReprésentation et combinaison de l'information géographique pour l'apprentissage profond / Azelle Courtial (2022)PermalinkRepresenting vector geographic information as a tensor for deep learning based map generalisation / Azelle Courtial (2022)PermalinkThe use of volunteer geographic information for producing and maintaining authoritative land use and land cover data / Ana-Maria Olteanu-Raimond (2022)PermalinkUrban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images / Xiao Li in Cartography and Geographic Information Science, vol 49 n° 1 (January 2022)PermalinkUse of multi-temporal and multi-sensor data for continental water body extraction in the context of the SWOT mission / Nicolas Gasnier (2022)PermalinkAutomatic registration of mobile mapping system Lidar points and panoramic-image sequences by relative orientation model / Ningning Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 12 (December 2021)PermalinkBuilding fuzzy areal geographical objects from point sets / Jifa Guo in Transactions in GIS, vol 25 n° 6 (December 2021)PermalinkA comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping / Khalil Valizadeh Kamran in Applied geomatics, vol 13 n° 4 (December 2021)PermalinkConnecting family trees to construct a population-scale and longitudinal geo-social network for the U.S. / Caglar Koylu in International journal of geographical information science IJGIS, vol 35 n° 12 (December 2021)PermalinkParticle swarm optimization based water index (PSOWI) for mapping the water extents from satellite images / Mohammad Hossein Gamshadzaei in Geocarto international, vol 36 n° 20 ([01/12/2021])PermalinkRelevés d’obstacles à la navigation aérienne au service de l’information aéronautique / Olivier de Joinville in XYZ, n° 169 (décembre 2021)PermalinkSemi-automatic reconstruction of object lines using a smartphone’s dual camera / Mohammed Aldelgawy in Photogrammetric record, Vol 36 n° 176 (December 2021)Permalink