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Alertes

Vous trouverez dans cette rubrique une veille scientifique sur des domaines liés aux sciences géographiques: géomatique, géovisualisation, GNSS-METEO et lasergrammétrie.

alerte-généralisation

Domain adaptation in segmenting historical maps: A weakly supervised approach through spatial co-occurrence / Sidi Wu in ISPRS Journal of photogrammetry and remote sensing, vol 197 (March 2023)

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[article]
inISPRS Journal of photogrammetry and remote sensing > vol 197 (March 2023) . - pp 199 - 211

Titre :	Domain adaptation in segmenting historical maps: A weakly supervised approach through spatial co-occurrence
Type de document :	Article/Communication
Auteurs :	Sidi Wu, Auteur ; Konrad Schindler, Auteur ; Magnus Heitzler, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 199 - 211
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte ancienne [Termes IGN] cartographie historique [Termes IGN] classification dirigée [Termes IGN] détection de changement [Termes IGN] données anciennes [Termes IGN] matrice de co-occurrence [Termes IGN] réseau antagoniste génératif [Termes IGN] segmentation d'image [Termes IGN] vision par ordinateur
Résumé :	(auteur) Historical maps depict past states of the Earth’s surface and make it possible to trace the natural or anthropogenic evolution of geographic objects back through time. However, the state of the depicted reality is not the only source of change: maps of varying age can differ in terms of graphical design, and also in terms of storage conditions, physical ageing of pigments, and the scanning process for digitization. Consequently, a computer vision system learned from a specific (source) map series will often not generalize well to older or newer (target) maps, calling for domain adaptation. In the present paper we examine – to our knowledge for the first time – domain adaptation for segmenting historical maps. We argue that for geo-spatial data like maps, which are geo-localized by definition, the spatial co-occurrence of geographical objects provides a supervision signal for domain adaptation. Since only a subset of all mapped objects co-occur, and even those are not perfectly aligned due to both real topographic changes and variations in map generalization/production, they only provide weak supervision — still they can bring a substantial benefit over completely unsupervised domain adaptation methods. The core of our proposed method is a novel self-supervised co-occurrence network that detects co-occurring objects across maps (specifically, domains) with a novel loss function that allows for object changes and spatial misalignment. Experiments show that, for the task of segmenting hydrological objects such as rivers, lakes and wetlands, our system significantly outperforms two state-of-art baselines, even with limited supervision (e.g., 5%). The source code is publicly available at https://github.com/sian-wusidi/spatialcooccurrence.
Numéro de notice :	A2023-146
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1016/j.isprsjprs.2023.01.021
Date de publication en ligne :	14/02/2023
En ligne :	https://doi.org/10.1016/j.isprsjprs.2023.01.021
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102804

PSSNet: Planarity-sensible Semantic Segmentation of large-scale urban meshes / Weixiao Gao in ISPRS Journal of photogrammetry and remote sensing, vol 196 (February 2023)

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[article]
inISPRS Journal of photogrammetry and remote sensing > vol 196 (February 2023) . - pp 32 - 44

Titre :	PSSNet: Planarity-sensible Semantic Segmentation of large-scale urban meshes
Type de document :	Article/Communication
Auteurs :	Weixiao Gao, Auteur ; Liangliang Nan, Auteur ; Bas Boom, Auteur ; Hugo Ledoux, Auteur
Année de publication :	2023
Article en page(s) :	pp 32 - 44
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Traitement d'image [Termes IGN] analyse de scène 3D [Termes IGN] champ aléatoire de Markov [Termes IGN] classification dirigée [Termes IGN] contour [Termes IGN] maillage [Termes IGN] Perceptron multicouche [Termes IGN] réseau neuronal de graphes [Termes IGN] scène urbaine [Termes IGN] segmentation sémantique
Résumé :	(Auteur) We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. Based on the observation that object boundaries typically align with the boundaries of planar regions, our framework achieves semantic segmentation in two steps: planarity-sensible over-segmentation followed by semantic classification. The over-segmentation step generates an initial set of mesh segments that capture the planar and non-planar regions of urban scenes. In the subsequent classification step, we construct a graph that encodes the geometric and photometric features of the segments in its nodes and the multi-scale contextual features in its edges. The final semantic segmentation is obtained by classifying the segments using a graph convolutional network. Experiments and comparisons on two semantic urban mesh benchmarks demonstrate that our approach outperforms the state-of-the-art methods in terms of boundary quality, mean IoU (intersection over union), and generalization ability. We also introduce several new metrics for evaluating mesh over-segmentation methods dedicated to semantic segmentation, and our proposed over-segmentation approach outperforms state-of-the-art methods on all metrics. Our source code is available at https://github.com/WeixiaoGao/PSSNet.
Numéro de notice :	A2023-064
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1016/j.isprsjprs.2022.12.020
Date de publication en ligne :	02/01/2023
En ligne :	https://doi.org/10.1016/j.isprsjprs.2022.12.020
Format de la ressource électronique :	URL Article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102399

Where am I now? modelling disorientation in pan-scalar maps / Guillaume Touya in ISPRS International journal of geo-information, vol 12 n° 2 (February 2023)

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[article]
inISPRS International journal of geo-information > vol 12 n° 2 (February 2023) . - n° 62

Titre :	Where am I now? modelling disorientation in pan-scalar maps
Type de document :	Article/Communication
Auteurs :	Guillaume Touya , Auteur ; Maieul Gruget , Auteur ; Ian Muehlenhaus, Auteur
Année de publication :	2023
Article en page(s) :	n° 62
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Termes IGN] cognition [Termes IGN] données multiéchelles [Termes IGN] échelle cartographique [Termes IGN] interaction homme-machine [Termes IGN] lecture de carte [Termes IGN] représentation mentale [Termes IGN] représentation mentale spatiale [Termes IGN] représentation multiple [Vedettes matières IGN] Généralisation
Résumé :	(auteur) Disorientation is a common feeling for all users of zoomable multi-scale maps, even for those with good orientation and spatial skills. We make the assumption that this problem is mainly due to the desert fog effect, documented in human–computer interaction within multi-scale zoomable environments. Starting with a collection of reported experiences of disorientation, this paper explores this notion from the spatial cognition, philosophical and human–computer interaction perspectives and proposes a model of disorientation in the exploration of multi-scale maps. We argue that disorientation is a problem of reconciliation between the current map view and the mental map of the user, where landmarks visible on the map or memorised in the mental map play a key role. The causes for failed reconciliation are discussed and illustrated by our collected experiences of disorientation.
Numéro de notice :	A2023-130
Affiliation des auteurs :	UGE-LASTIG+Ext (2020- )
Thématique :	GEOMATIQUE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.3390/ijgi12020062
En ligne :	https://doi.org/10.3390/ijgi12020062
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102585

AnchorWhat : Décompositions de cartes pan-scalaires / Maieul Gruget (2023)

Improving generalized models of forest structure in complex forest types using area- and voxel-based approaches from lidar / Andrew W. Whelan in Remote sensing of environment, vol 284 (January 2023)

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[article]
inRemote sensing of environment > vol 284 (January 2023) . - n° 113362

Titre :	Improving generalized models of forest structure in complex forest types using area- and voxel-based approaches from lidar
Type de document :	Article/Communication
Auteurs :	Andrew W. Whelan, Auteur ; Jeffery B. Cannon, Auteur ; Seth W. Bigelow, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	n° 113362
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] canopée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] diagnostic foliaire [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] Géorgie (Etats-Unis) [Termes IGN] modélisation de la forêt [Termes IGN] Pinus palustris [Termes IGN] structure d'un peuplement forestier [Termes IGN] surface forestière [Termes IGN] volume en bois [Termes IGN] voxel
Résumé :	(auteur) Modeling forest attributes using lidar data has been a useful tool for forest management but the need to correlate lidar to ground-based measurements creates challenges to modeling in diverse forest landscapes. Many lidar models have been based on metrics derived from summarizations of individual lidar returns over sample plot areas, but more recently, metrics based on summarization by volumetric pixel (voxel) have shown promise to better characterize forest structure and distinguish between diverse forest types. Voxel-based metrics may improve characterization of leaf area distribution and horizontal forest structure, which could help create general models of forest attributes applicable in complex landscapes composed of many distinct forest types. We modeled wood volume in longleaf pine woodlands and associated forests to compare how area- and voxel- based lidar metrics predicted wood volume in forest type specific and general predictive models. We created four area-based and six voxel-based metrics to fit models of wood volume using a multiplicative power function. We selected models and compared metric importance using AIC and evaluated model performance using cross-validated mean prediction error. We found that one area-based metric and four voxel-based metrics consistently improved model predictions We suggest that area-based metrics alone may have limitations for characterizing complex forest structure. Area-based summarizes of lidar returns are more heavily influenced by upper canopy returns because lidar returns attenuate below the canopy. By contrast, summarizing lidar returns into a single value per voxel prior to summarization over plots homogenizes point density, giving added weight to sub-canopy returns. Thus voxel-based metrics may be more sensitive to structural variation that may not be adequately captured by area-based metrics alone. This study highlights the potential of voxel-based metrics for characterizing complex forest structure and model generalization capable of accurate forest attribute prediction across diverse forest types.
Numéro de notice :	A2023-016
Affiliation des auteurs :	non IGN
Thématique :	FORET/IMAGERIE
Nature :	Article
DOI :	10.1016/j.rse.2022.113362
Date de publication en ligne :	23/11/2022
En ligne :	https://doi.org/10.1016/j.rse.2022.113362
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102150

Voir la suite...

alerte-géovisualisation

Automatic generation of outline-based representations of landmark buildings with distinctive shapes / Peng Ti in International journal of geographical information science IJGIS, vol 37 n° 4 (April 2023)

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[article]
inInternational journal of geographical information science IJGIS > vol 37 n° 4 (April 2023) . - pp 864 - 884

Titre :	Automatic generation of outline-based representations of landmark buildings with distinctive shapes
Type de document :	Article/Communication
Auteurs :	Peng Ti, Auteur ; Tao Xiong, Auteur ; Yuhong Qiu, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 864 - 884
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Termes IGN] Bâti-3D [Termes IGN] cartographie [Termes IGN] contour [Termes IGN] détection du bâti [Termes IGN] extraction de traits caractéristiques [Termes IGN] raisonnement spatial [Termes IGN] reconnaissance de formes [Termes IGN] segmentation d'image [Termes IGN] sémiologie graphique [Vedettes matières IGN] Géovisualisation
Résumé :	(auteur) Landmark buildings are salient features for spatial cognition on maps. Distinctive outlines are the major visual characteristics that separate landmark buildings from their surrounding environments. The automatic symbolization of landmark outlines facilitates recognition and map production. As users often recognize landmarks by the outlines of their façades from a street view, this study proposes an automatic method for automatically generating representations of the outlines of landmark buildings in four steps: (1) extract outlines from street-view photographs using GrabCut method, (2) vectorize the extracted building outlines, (3) simplify outline shapes, and (4) symbolize the simplified building outlines in three dimensions (3D). We used the proposed method to generate test data with symbolized outlines for eight buildings in a real-world environment for a wayfinding experiment in which the subjects used the building representations to identify landmark buildings and evaluated their perception of the generated maps. The subjects successfully recognized these buildings based on the symbolized outlines on a map, expressed satisfaction with the manually generated 3D symbols, and reported the same or similar ease of building recognition using 2D or 3D symbolized outlines.
Numéro de notice :	A2023-207
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1080/13658816.2022.2143503
Date de publication en ligne :	11/11/2022
En ligne :	https://doi.org/10.1080/13658816.2022.2143503
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103109

Assessing the cognition of movement trajectory visualizations: interpreting speed and direction / Crystal J. Bae in Cartography and Geographic Information Science, Vol 50 n° 2 (March 2023)

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[article]
inCartography and Geographic Information Science > Vol 50 n° 2 (March 2023) . - pp 143 - 161

Titre :	Assessing the cognition of movement trajectory visualizations: interpreting speed and direction
Type de document :	Article/Communication
Auteurs :	Crystal J. Bae, Auteur ; Somayeh Dodge, Auteur
Année de publication :	2023
Article en page(s) :	pp 143 - 161
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Termes IGN] analyse visuelle [Termes IGN] cognition [Termes IGN] compréhension de l'image [Termes IGN] données spatiotemporelles [Termes IGN] objet mobile [Termes IGN] visualisation cartographique [Vedettes matières IGN] Géovisualisation
Résumé :	(auteur) This paper evaluates cognitively plausible geovisualization techniques for mapping movement data. With the widespread increase in the availability and quality of space-time data capturing movement trajectories of individuals, meaningful representations are needed to properly visualize and communicate trajectory data and complex movement patterns using geographic displays. Many visualization and visual analytics approaches have been proposed to map movement trajectories (e.g. space-time paths, animations, trajectory lines, etc.). However, little is known about how effective these complex visualizations are in capturing important aspects of movement data. Given the complexity of movement data which involves space, time, and context dimensions, it is essential to evaluate the communicative efficiency and efficacy of various visualization forms in helping people understand movement data. This study assesses the effectiveness of static and dynamic movement displays as well as visual variables in communicating movement parameters along trajectories, such as speed and direction. To do so, a web-based survey is conducted to evaluate the understanding of movement visualizations by a nonspecialist audience. This and future studies contribute fundamental insights into the cognition of movement visualizations and inspire new methods for the empirical evaluation of geovisualizations.
Numéro de notice :	A2023-221
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1080/15230406.2022.2157879
Date de publication en ligne :	23/01/2023
En ligne :	https://doi.org/10.1080/15230406.2022.2157879
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103167

How does the design of landmarks on a mobile map influence wayfinding experts’ spatial learning during a real-world navigation task? / Armand Kapaj in Cartography and Geographic Information Science, Vol 50 n° 2 (March 2023)

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[article]
inCartography and Geographic Information Science > Vol 50 n° 2 (March 2023) . - pp 197 - 213

Titre :	How does the design of landmarks on a mobile map influence wayfinding experts’ spatial learning during a real-world navigation task?
Type de document :	Article/Communication
Auteurs :	Armand Kapaj, Auteur ; Sara Maggi, Auteur ; Christopher Hilton, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 197 - 213
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Termes IGN] analyse géovisuelle [Termes IGN] itinéraire [Termes IGN] navigation pédestre [Termes IGN] oculométrie [Termes IGN] orientation [Termes IGN] point de repère [Termes IGN] raisonnement spatial [Termes IGN] représentation cartographique [Termes IGN] représentation mentale spatiale [Vedettes matières IGN] Géovisualisation
Résumé :	(auteur) Humans increasingly rely on GPS-enabled mobile maps to navigate novel environments. However, this reliance can negatively affect spatial learning, which can be detrimental even for expert navigators such as search and rescue personnel. Landmark visualization has been shown to improve spatial learning in general populations by facilitating object identification between the map and the environment. How landmark visualization supports expert users’ spatial learning during map-assisted navigation is still an open research question. We thus conducted a real-world study with wayfinding experts in an unknown residential neighborhood. We aimed to assess how two different landmark visualization styles (abstract 2D vs. realistic 3D buildings) would affect experts’ spatial learning in a map-assisted navigation task during an emergency scenario. Using a between-subjects design, we asked Swiss military personnel to follow a given route using a mobile map, and to identify five task-relevant landmarks along the route. We recorded experts’ gaze behavior while navigating and examined their spatial learning after the navigation task. We found that experts’ spatial learning improved when they focused their visual attention on the environment, but the direction of attention between the map and the environment was not affected by the landmark visualization style. Further, there was no difference in spatial learning between the 2D and 3D groups. Contrary to previous research with general populations, this study suggests that the landmark visualization style does not enhance expert navigators’ navigation or spatial learning abilities, thus highlighting the need for population-specific mobile map design solutions.
Numéro de notice :	A2023-222
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1080/15230406.2023.2183525
Date de publication en ligne :	07/03/2023
En ligne :	https://doi.org/10.1080/15230406.2023.2183525
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103168

A spatiotemporal data model and an index structure for computational time geography / Bi Yu Chen in International journal of geographical information science IJGIS, vol 37 n° 3 (March 2023)

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[article]
inInternational journal of geographical information science IJGIS > vol 37 n° 3 (March 2023) . - pp 550 - 583

Titre :	A spatiotemporal data model and an index structure for computational time geography
Type de document :	Article/Communication
Auteurs :	Bi Yu Chen, Auteur ; Yu-Bo Luo, Auteur ; Tao Jia, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 550 - 583
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Géomatique [Termes IGN] approche hiérarchique [Termes IGN] données massives [Termes IGN] données spatiotemporelles [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] requête spatiotemporelle [Termes IGN] stockage de données [Termes IGN] Time-geography
Résumé :	(auteur) The availability of Spatiotemporal Big Data has provided a golden opportunity for time geographical studies that have long been constrained by the lack of individual-level data. However, how to store, manage, and query a huge number of time geographic entities effectively and efficiently with complex spatiotemporal characteristics and relationships poses a significant challenge to contemporary GIS platforms. In this article, a hierarchical compressed linear reference (CLR) model is proposed to transform network-constrained time geographic entities from three-dimensional (3D) (x, y, t) space into two-dimensional (2D) space. Accordingly, time geographic entities can be represented as 2D spatial entities and stored in a classical spatial database. The proposed CLR model supports a hierarchical linear reference system (LRS) including not only underlying a link-based LRS but also multiple higher-level route-based LRSs. In addition, an LRS-based spatiotemporal index structure is developed to index both time geographic entities and the corresponding hierarchical network. The results of computational experiments on large datasets of space–time paths and prisms show that the proposed hierarchical CLR model is effective at storing and managing time geographic entities in road networks. The developed index structure achieves satisfactory query performance in milliseconds on large datasets of time geographic entities.
Numéro de notice :	A2023-153
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1080/13658816.2022.2128192
Date de publication en ligne :	03/10/2023
En ligne :	https://doi.org/10.1080/13658816.2022.2128192
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102836

Création d’un graphe de connaissances géohistorique à partir d’annuaires du commerce parisien du 19ème siècle : application aux métiers de la photographie / Solenn Tual (2023)

Public

Titre :	Création d’un graphe de connaissances géohistorique à partir d’annuaires du commerce parisien du 19ème siècle : application aux métiers de la photographie
Type de document :	Article/Communication
Auteurs :	Solenn Tual , Auteur ; Nathalie Abadie , Auteur ; Bertrand Duménieu , Auteur ; Joseph Chazalon, Auteur ; Edwin Carlinet, Auteur
Editeur :	Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-)
Année de publication :	2023
Projets :	SODUCO / Perret, Julien
Conférence :	IC 2023, 34es journées francophones d'Ingénierie des connaissances 03/07/2023 05/07/2023 Strasbourg France programme
Note générale :	bibliographie
Langues :	Français (fre)
Descripteur :	[Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] bruit (théorie du signal) [Termes IGN] entité géographique [Termes IGN] réseau sémantique [Termes IGN] visualisation 4D
Index. décimale :	37.20 Analyse spatiale et ses outils
Résumé :	(auteur) Les annuaires professionnels anciens, édités à un rythme soutenu dans de nombreuses villes européennes tout au long des XIXe et XXe siècles, forment un corpus de sources unique par son volume et la possibilité qu'ils donnent de suivre les transformations urbaines à travers le prisme des activités professionnelles des habitants, de l'échelle individuelle jusqu'à celle de la ville entière. L'analyse spatiotemporelle d'un type de commerces au travers des entrées d'annuaires demande cependant un travail considérable de recensement, de transcription et de recoupement manuels. Pour pallier cette difficulté, cet article propose une approche automatique pour construire et visualiser un graphe de connaissances géohistorique des commerces figurant dans des annuaires anciens. L'approche est testée sur des annuaires du commerce parisien du XIXe siècle allant de 1799 à 1908, sur le cas des métiers de la photographie.
Numéro de notice :	C2023-012
Affiliation des auteurs :	UGE-LASTIG+Ext (2020- )
Thématique :	GEOMATIQUE
Nature :	Communication
nature-HAL :	ComAvecCL&ActesPubliésIntl
DOI :	sans
En ligne :	https://hal.science/hal-04121643
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103319

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alerte-GNSS & météo

n° 181 - Décembre 2024 - Cartographie d’urgence pour la documentation et la gestion des risques naturels (Bulletin de XYZ)

Public

[n° ou bulletin]

est un bulletin de XYZ / Association française de topographie (1979 -)

Titre :	n° 181 - Décembre 2024 - Cartographie d’urgence pour la documentation et la gestion des risques naturels
Type de document :	Périodique
Année de publication :	2024
Importance :	64 p.
Langues :	Français (fre)
Descripteur :	[Termes IGN] cartographie [Termes IGN] changement climatique [Termes IGN] risque naturel [Termes IGN] topographie
Note de contenu :	1. Éditorial 2. Infotopo > Les informations de la profession 3. Hommage > Suzanne Débarbat 4. La vie de la profession > Les sociétés à mission : un modèle d’entreprise durable et responsable 5. Manifestation > Salon INTERGEO 2024 > Journées de la topographie 2024 sur le thème du sport et de la topographie > Grand succès pour les GeoDataDays 2024... 14 > Atlas IGN 2024 à l’ère de l’intelligence artificielle > SIG 2024 - Le Géo évènement 6. Géomatique > Première étude économique de l’écosystème géonumérique en France 7. Cartographie > Cartographie d’urgence pour la documentation et la gestion des risques naturels - l’exemple de la tempête du 24 juillet 2023 à La Chaux-de-Fonds > L’impression en relief à la demande prend de la hauteur 8. GNSS > Qualification des corrections NRTK au sein du réseau TERIA 9. Calculs > Autocontrôle des cheminements polygonaux en planimétrie : quelques précisions sur les tolérances applicables 10. Topographie > De 1980 à 2024 : quand les visions de la topographie de l’an 2000 rencontrent la réalité technologique de 2024 11. Topo vécue > Un topographe aux limites de l’écoumène 12. Foncier international > Nouvelles orientations pour les projets fonciers en Afrique : garantir la paix et la sécurité grâce à une croissance urbaine durable 13. Art et géométrie > Ulysse Lacoste : le Rulpidon 14. Ouvrages
Numéro de notice :	112-202404
Affiliation des auteurs :	non IGN
Thématique :	GEOMATIQUE/POSITIONNEMENT
Nature :	Numéro de périodique
Permalink :	https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=35215

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
112-2024041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

A consistent regional vertical ionospheric model and application in PPP-RTK under sparse networks / Sijie Lyu in Navigation : journal of the Institute of navigation, vol 70 n° 3 (Fall 2023)

A tropospheric delay model to integrate ERA5 and GNSS reference network for mountainous areas: application to precise point positioning / Cuixian Lu in GPS solutions, vol 27 n° 2 (April 2023)

Public

[article]
inGPS solutions > vol 27 n° 2 (April 2023) . - n° 81

Titre :	A tropospheric delay model to integrate ERA5 and GNSS reference network for mountainous areas: application to precise point positioning
Type de document :	Article/Communication
Auteurs :	Cuixian Lu, Auteur ; Yaxin Zhong, Auteur ; Zhilu Wu, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	n° 81
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] Australie [Termes IGN] Continuously Operating Reference Station network [Termes IGN] convergence [Termes IGN] ERA5 [Termes IGN] montagne [Termes IGN] positionnement ponctuel précis [Termes IGN] retard troposphérique [Termes IGN] retard troposphérique zénithal [Termes IGN] station GNSS [Termes IGN] teneur en vapeur d'eau
Résumé :	(auteur) In this study, a tropospheric delay model that integrates tropospheric delays derived from the European Centre for Medium-Range Weather Forecasts fifth-generation global atmospheric reanalysis and the Continuously Operating Reference Station (CORS) network observations in mountainous areas is established, which is then applied to improve GNSS precise point positioning (PPP). Observations of GNSS stations in the Great Dividing Range of eastern Australia are selected for the experiments. The performance of zenith wet delay (ZWD) retrieved from the integrated tropospheric model is evaluated with comparisons to precise point positioning (PPP) estimated ZWD values. Results show that the average root-mean-square value for ZWDs of the integrated tropospheric model is 8.03 mm for the eastern Australian CORS network, showing an improvement of 14.0% compared to that of the CORS interpolation model. Besides, the proposed tropospheric model is applied to regional augmentation precise positioning. Results present that the average positioning accuracy of the tropospheric model-corrected PPP solutions is 1.42 cm, 1.39 cm and 2.90 cm for the east, north and vertical components, respectively, revealing an improvement of 14.5%, 11.5% and 18.6% compared to the PPP solutions with regional CORS corrections. Meanwhile, almost all stations can achieve a faster solution convergence by performing the integrated tropospheric model-corrected PPP. All these results demonstrate the promising potential of the proposed tropospheric model in enhancing precise positioning as well as facilitating applications in the meteorological fields.
Numéro de notice :	A2023-183
Affiliation des auteurs :	non IGN
Thématique :	POSITIONNEMENT
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1007/s10291-023-01425-5
Date de publication en ligne :	03/03/2023
En ligne :	https://doi.org/10.1007/s10291-023-01425-5
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102954

Near real-time global ionospheric total electron content modeling and nowcasting based on GNSS observations / Xulei Jin in Journal of geodesy, vol 97 n° 3 (March 2023)

Public

[article]
inJournal of geodesy > vol 97 n° 3 (March 2023) . - n° 27

Titre :	Near real-time global ionospheric total electron content modeling and nowcasting based on GNSS observations
Type de document :	Article/Communication
Auteurs :	Xulei Jin, Auteur ; Shuli Song, Auteur
Année de publication :	2023
Article en page(s) :	n° 27
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Termes IGN] carte ionosphérique mondiale [Termes IGN] données Jason [Termes IGN] modèle ionosphérique [Termes IGN] temps réel [Termes IGN] teneur totale en électrons [Vedettes matières IGN] Traitement de données GNSS
Résumé :	(auteur) For the purposes of routinely providing reliable and low-latency Global Ionosphere Maps (GIMs), a method of estimating hourly updated near real-time GIM with a time latency of about 1–2 h based on a 24-h data sliding window of Global Navigation Satellite System (GNSS) near real-time observations and real-time data streams was presented. On the basis of the implementation of near real-time GIM estimation, an hourly updated GIM nowcasting method was further proposed to improve the accurate of short-term total electron content (TEC) prediction. We estimated the Shanghai Astronomical Observatory near real-time GIM (SHUG) and nowcasting GIM (SHPG) in the solar relatively active year (2014) and quiet year (2021), and employed GIMs provided by the International GNSS Service, the Global Positioning System (GPS) differential slant TECs (dSTECs) extracted from global independent GNSS stations, and the vertical TECs (VTECs) inverted from satellite altimetry as the references to validate the estimated results. The GPS dSTECs evaluation results show that SHUG behaves fairly consistent with the rapid GIMs, with a discrepancy of less than 1 TEC unit (TECu) overall. The standard deviations (STDs) of SHUG with respect to Jason-2/-3 VTECs are no more than 10% over the majority of rapid GIMs due to the instability of observations. The performance of 1-h nowcasting SHPG is significantlybetter than the Center for Orbit Determination in Europe (CODE) 1-day predicted GIM (C1PG). GPS dSTEC validation results indicate that 1-h nowcasting SHPG is 1 to 2 TECu more reliable than C1PG in eventful ionospheric electron activity regions, and it outperforms the C1PG by 10% overall versus Jason-2/-3 VTECs. The hourly updated SHUG and SHPG have relatively high reliability and low time latency, and thus can provide excellent service for (near) real-time users and offer more accurate TEC background information than daily predicted GIM for real-time GIM estimation.
Numéro de notice :	A2023-181
Affiliation des auteurs :	non IGN
Thématique :	POSITIONNEMENT
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1007/s00190-023-01715-3
Date de publication en ligne :	20/03/2023
En ligne :	https://doi.org/10.1007/s00190-023-01715-3
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102950

Undifferenced and uncombined GNSS time and frequency transfer with integer ambiguity resolution / Xiaolong Mi in Journal of geodesy, vol 97 n° 2 (February 2023)

Public

[article]
inJournal of geodesy > vol 97 n° 2 (February 2023) . - n° 13

Titre :	Undifferenced and uncombined GNSS time and frequency transfer with integer ambiguity resolution
Type de document :	Article/Communication
Auteurs :	Xiaolong Mi, Auteur ; Baocheng Zhang, Auteur ; Ahmed El-Mowafy, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	n° 13
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Géodésie spatiale [Termes IGN] ambiguïté entière [Termes IGN] modèle ionosphérique [Termes IGN] positionnement cinématique en temps réel [Termes IGN] positionnement ponctuel précis [Termes IGN] résolution d'ambiguïté [Termes IGN] retard ionosphèrique [Termes IGN] temps-fréquence
Résumé :	(auteur) Precise point positioning (PPP) has been a competitive global navigation satellite system (GNSS) technique for time and frequency transfer. However, the classical PPP is usually based on the ionosphere-free combination of dual-frequency observations, which has limited flexibility in the multi-frequency scenario. More importantly, the unknown integer ambiguities are not restored to the integer nature, making the advantage of high-precision carrier phase observations underutilized. In this contribution, using the undifferenced and uncombined (UDUC) observations, we derive the time and frequency transfer model suitable for multi-constellation and multi-frequency scenarios. Notably, in short- and medium-baseline time and frequency transfer, the ionosphere-fixed and ionosphere-weighted UDUC models are derived, respectively, by making full use of the single-differenced (SD) ionospheric constraints. The proposed model can be applied to short-, medium- and long-baseline time and frequency transfer. The ambiguities are solved in a double-differenced (DD) form and can thus be restored to integers. To verify the feasibility of the model, GPS data from several time laboratories were collected, and the performance of the time and frequency transfer were analyzed with different baseline lengths. The results showed that the ionosphere-fixed and ionosphere-weighted UDUC models with integer ambiguity resolution could improve the frequency stability by 25–60% and 9–30% at an averaging time of several tens of seconds to 1 day for short- and medium-baseline, respectively. Concerning the long-baseline, the UDUC model is 10–25% more stable than PPP for averaging time below a few thousands second and over 1 day.
Numéro de notice :	A2022-613
Affiliation des auteurs :	non IGN
Thématique :	POSITIONNEMENT
Nature :	Article
nature-HAL :	ArtAvecCL-RevueIntern
DOI :	10.1007/s00190-022-01689-8
Date de publication en ligne :	06/02/2023
En ligne :	https://doi.org/10.1007/s00190-022-01689-8
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=102677

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alerte-lasergrammétrie

Étude des outils permettant la classification d’un nuage de points LiDAR aérien et optimisation de la chaîne de traitement dans le cadre du programme national du LiDAR HD / Evan samzun in XYZ, n° 179 (juin 2024)

Public

[article]
inXYZ > n° 179 (juin 2024) . - pp. 35 - 42

Titre :	Étude des outils permettant la classification d’un nuage de points LiDAR aérien et optimisation de la chaîne de traitement dans le cadre du programme national du LiDAR HD
Type de document :	Article/Communication
Auteurs :	Evan samzun, Auteur
Année de publication :	2024
Article en page(s) :	pp. 35 - 42
Langues :	Français (fre)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] classification [Termes IGN] image aérienne [Termes IGN] intelligence artificielle [Termes IGN] Lidar [Termes IGN] semis de points
Résumé :	Ce travail présente une étude portant sur la classification de nuages de points issus d’une acquisition aérienne, en se concentrant sur les données acquises dans le cadre du projet national LiDAR HD. Il réalise une analyse critique des outils proposés par Terrascan et des méthodes pa- ramétriques qui offrent un bon rapport temps/qualité, mais il subsiste des confusions qui demandent un temps de correction conséquent. De plus, les outils Terrascan sont limités à la classification du sol, des bâtiments et d’une partie de la végétation. Il n’est pas proposé de méthodes efficaces pour classifier des éléments de la classe du sursol pérenne, comme les pylônes électriques ou les éoliennes notamment. Pour y remédier, une autre méthode innovante, basée sur les descripteurs 3D est proposée. Cette méthode offre une meilleure détection des bâtiments et permet, en outre, de classifier des éléments du sursol pérenne. Enfin, il est étudié les synergies entre les différents outils testés. Puis les performances d’une IA sont introduites afin de discuter de l’avenir de la classification des nuages de points aériens.
Numéro de notice :	A2024-17902
Affiliation des auteurs :	non IGN
Thématique :	POSITIONNEMENT
Nature :	Article
nature-HAL :	ArtSansCL
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103658

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
112-2024021	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Combination of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry for Heritage Building Information Modeling: A Case Study of Tarsus St. Paul Church / Şafak Fidan in Photogrammetric Engineering & Remote Sensing, PERS, vol 89 n° 12 (December 2023)

Public

[article]
inPhotogrammetric Engineering & Remote Sensing, PERS > vol 89 n° 12 (December 2023) . - pp 753 - 760

Titre :	Combination of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry for Heritage Building Information Modeling: A Case Study of Tarsus St. Paul Church
Type de document :	Article/Communication
Auteurs :	Şafak Fidan, Auteur ; Ulvi Ali, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 753 - 760
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] église [Termes IGN] image captée par drone [Termes IGN] modèle numérique [Termes IGN] patrimoine archéologique [Termes IGN] patrimoine immobilier
Résumé :	(auteur) Cultural heritage building information modeling (HBIM) is an emerging process allowing us to reconstruct built heritage virtually. The data of a digitally documented cultural heritage building offers significant advantages as it is accessible and modifiable by all professionals involved in the same or different projects. The most important factor affecting the accuracy and precision of the HBIM model is the ability to collect complete and accurate information about the physical structure. Combining terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry point clouds is one of the most efficient ways to capture accurate digital data on the building. This study provides the foundation for creating an HBIM model for cultural heritage the coupling of spatial data with TLS and UAV. This paper aims to generate synergy between TLS and UAV point cloud data and ensure that the spatial database contains sufficient data to model historical objects with HBIM tendencies.
Numéro de notice :	A2023-238
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Article
DOI :	10.14358/PERS.23-00031R2
En ligne :	https://doi.org/10.14358/PERS.23-00031R2
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103599

Detailed cultural heritage recording produced with traditional methods and laser scanning / Ljubo Lah in Geodetski vestnik, vol 67 n° 4 (December 2023)

Public

[article]
inGeodetski vestnik > vol 67 n° 4 (December 2023) . - pp 442 - 458

Titre :	Detailed cultural heritage recording produced with traditional methods and laser scanning
Type de document :	Article/Communication
Auteurs :	Ljubo Lah, Auteur ; Alain Guerreau, Auteur ; Mojca K. Fras, Auteur ; Tilen Urbančič, Auteur
Année de publication :	2023
Article en page(s) :	pp 442 - 458
Note générale :	bibliographie
Langues :	Anglais (eng) Slovène (slv)
Descripteur :	[Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse de données [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] église [Termes IGN] matrice orthogonale [Termes IGN] patrimoine culturel [Termes IGN] topométrie de précision
Résumé :	(auteur) Traditional measurement methods are still widely used for recording cultural heritage objects. On the other hand, geodetic surveying and modern technologies such as 3D laser scanning can provide more accurate, geometrically consistent and extremely detailed data that can be used as a basis for detailed vector maps or 3D models. The main aim of our research was to investigate the complementary approach, using both traditional and modern methods, in order to produce detailed vector maps of the Romanesque church of St. Martin in Chapaize, France, which are essential for further unveiling its historic development. Geometrically, this church is rather extensive and has many irregularities in its shape. Our approach to the documentation process is presented and evaluated in this paper. We applied the Procrustes analysis for the ground floor map, which gave us an objective accuracy assessment. Point clouds of the bell tower acquired by two different laser instruments have also been compared.
Numéro de notice :	A2023-240
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE/INFORMATIQUE/POSITIONNEMENT
Nature :	Article
DOI :	10.15292/geodetski-vestnik.2023.04.442-458
Date de publication en ligne :	01/12/2023
En ligne :	https://dx.doi.org/10.15292/geodetski-vestnik.2023.04.442-458
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103603

A Powerful Correspondence Selection Method for Point Cloud Registration Based on Machine Learning / Wuyong Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 89 n° 11 (November 2023)

Public

[article]
inPhotogrammetric Engineering & Remote Sensing, PERS > vol 89 n° 11 (November 2023) . - pp 703 - 712

Titre :	A Powerful Correspondence Selection Method for Point Cloud Registration Based on Machine Learning
Type de document :	Article/Communication
Auteurs :	Wuyong Tao, Auteur ; Dong Xu, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 703 - 712
Note générale :	bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] appariement de points [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] semis de points
Résumé :	(auteur) Correspondence selection is an indispensable process in point cloud registration. The success of point cloud registration largely depends on a good correspondence selection method. For this purpose, a novel correspondence selection method is proposed in this paper. First, two geometric constraints, one of which is proposed in this paper, are used to compute the compatibility score between two correspondences. Then, the feature vectors of the correspondences are constructed according to the compatibility scores between the correspondence and others. A support vector machine classifier is trained to classify the correct and incorrect correspondences by using the feature vectors. The experimental results demonstrate that our method can choose the right correspondences well and get high precision and F-score performance. Also, our method has the best robustness to noise, pointdensity variation, and partial overlap compared to the other methods.
Numéro de notice :	A2023-237
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Article
DOI :	10.14358/PERS.23-00046R2
En ligne :	https://doi.org/10.14358/PERS.23-00046R2
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103597

Integrating topographic knowledge into point cloud simplification for terrain modelling / Jun Chen in International journal of geographical information science IJGIS, vol 37 n° 5 (May 2023)

Public

[article]
inInternational journal of geographical information science IJGIS > vol 37 n° 5 (May 2023) . - pp 988 - 1008

Titre :	Integrating topographic knowledge into point cloud simplification for terrain modelling
Type de document :	Article/Communication
Auteurs :	Jun Chen, Auteur ; Liyang Xiong, Auteur ; Bowen Yin, Auteur ; et al., Auteur
Année de publication :	2023
Article en page(s) :	pp 988 - 1008
Note générale :	Bibliographie
Langues :	Anglais (eng)
Descripteur :	[Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données topographiques [Termes IGN] lissage de données [Termes IGN] modèle numérique de surface [Termes IGN] semis de points [Termes IGN] Triangulated Irregular Network
Résumé :	(auteur) Terrain models are widely used to depict the shape of the Earth’s surface. With the development of photogrammetric methods, point cloud data have become one of the most popular data sources for terrain modelling. However, the obtained point clouds are of high density, which often increases redundancy rather than improving accuracy. Therefore, point cloud simplification should be a core component of terrain modelling. This paper proposes a point cloud simplification method by integrating topographic knowledge into terrain modelling (TKPCS). The method contains two steps: (1) topographic knowledge recognition and construction and (2) point cloud simplification using this topographic knowledge for terrain modelling. The proposed approach is benchmarked against improved versions of existing methods to validate its capability and accuracy in digital elevation model construction and terrain derivative extraction. The results show that the simplified points of the TKPCS method can generate finer resolution terrain models with higher accuracy and greater information entropy. The good performance of the TKPCS method is also stable at different scales. This work endeavours to transform perceptive topographic knowledge into a process of point cloud simplification and can benefit future research related to terrain modelling.
Numéro de notice :	A2023-204
Affiliation des auteurs :	non IGN
Thématique :	IMAGERIE
Nature :	Article
DOI :	10.1080/13658816.2023.2180801
Date de publication en ligne :	28/02/2023
En ligne :	https://doi.org/10.1080/13658816.2023.2180801
Format de la ressource électronique :	URL article
Permalink :	https://documentation.ensg.eu/index.php?lvl=notice_display&id=103138

Voir la suite...

IGN

Centre de documentation
scientifique

Accueil

Sélection de la langue

Adresse

Se connecter

Actualité

L'actu ! Horaires du CDOS

Informations pratiques

Alertes

alerte-généralisation

Documents numériques

alerte-géovisualisation

alerte-GNSS & météo

Exemplaires(1)

alerte-lasergrammétrie

Exemplaires(1)

IGN / Géodata Paris (ex ENSG-Géomatique)

L'IGN a pour vocation

Accès directs

2014 -2025 IGN

IGN

Centre de documentationscientifique

Accueil

Sélection de la langue

Adresse

Se connecter

Actualité

L'actu ! Horaires du CDOS

Informations pratiques

Alertes

alerte-généralisation

Documents numériques

alerte-géovisualisation

alerte-GNSS & météo

Exemplaires(1)

alerte-lasergrammétrie

Exemplaires(1)

IGN / Géodata Paris (ex ENSG-Géomatique)

L'IGN a pour vocation

Accès directs

2014 -2025 IGN

Centre de documentation
scientifique