Descripteur
Termes IGN > aménagement > infrastructure > réseau technique > réseau de transport > réseau routier > route
routeVoir aussi |
Documents disponibles dans cette catégorie (154)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Titre : Geographic Information Systems in geospatial intelligence Type de document : Monographie Auteurs : Rustam B. Rustamov, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2020 Importance : 190 p. ISBN/ISSN/EAN : 978-1-83880-505-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] Airborne Data Acquisition and Registration
[Termes IGN] apprentissage automatique
[Termes IGN] base de données localisées
[Termes IGN] détection automatique
[Termes IGN] détection d'objet
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] Global Positioning System
[Termes IGN] image hyperspectrale
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] route
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (Editeur) Earth observation systems, by use of space science and technology advances, present a large-scale opportunity for applying remote sensing methods with geographical information system (GIS) developments. Integrating these two methods makes it possible to achieve high-accuracy satellite data processing. This book considers aspects of GIS technology applications with space science technology and innovation approaches. It examines the potential of Earth observation satellite systems as well as existing challenges and problems in the field. Chapters cover topics such as RGB-D sensors for autonomous pothole detection, machine learning in GIS, interferometric synthetic aperture radar (InSAR) modeling, and others. Note de contenu : Chapter 1 - InSAR modeling of geophysics measurements
Chapter 2 - Expanding navigation systems by integrating it with advanced technologies
Chapter 3 - A review of the machine learning in GIS for megacities application
Chapter 4 - Study of equatorial plasma bubbles using ASI and GPS systems
Chapter 5 - Spectral optimization of airborne multispectral camera for land cover classification: automatic feature selection and spectral band clustering
Chapter 6 - Clustering techniques for land use land cover classification of remotely sensed images
Chapter 7 - Building an integrated database of road design elements
Chapter 8 - On the use of low-cost RGB-D sensors for autonomous pothole detection with spatial fuzzy c-means segmentationNuméro de notice : 26559 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.84925 En ligne : http://doi.org/10.5772/intechopen.84925 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98242 Potential of crowdsourced traces for detecting updates in authoritative geographic data / Stefan Ivanovic (2020)
Titre : Potential of crowdsourced traces for detecting updates in authoritative geographic data Type de document : Article/Communication Auteurs : Stefan Ivanovic (1988 - 2020) , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Thomas Devogele , Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2020 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : AGILE 2019, 22nd conference on Geo-information science 17/06/2019 20/06/2019 Limassol Chypre Proceedings Springer Importance : pp 205 - 221 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] aide à la décision
[Termes IGN] appariement de données localisées
[Termes IGN] BD Topo
[Termes IGN] chemin rural
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] données localisées de référence
[Termes IGN] mise à jour de base de données
[Termes IGN] montagne
[Termes IGN] route
[Termes IGN] trace GPSRésumé : (auteur) Crowdsourced traces collected by GPS devices during sports activities are now widely available on different websites. The goal of this paper is to study the potential of crowdsourced traces coming from GPS devices to highlight updates in authoritative geographic data. To reach this goal, an approach based on two steps is proposed. First, a data matching method is applied to match authoritative data and crowdsourced traces. Second, for the non-matched crowdsourced segments composing a trace, different criteria are defined to decide if whether or not, non-matched segments should be considered as an alert for update in authoritative data. The proposed approach is tested on crowdsourced traces and on BDTOPO® authoritative road and path network in mountain area. The results are promising: 727, 1 km of missing paths were found in the test area, which corresponds to 7.7% of the total length of used traces. The discovered missing paths also represent a contribution of 2.4% of the total length of BDTopo® road and path network in the test area. Numéro de notice : C2019-008 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-030-14745-7_12 Date de publication en ligne : 16/04/2019 En ligne : http://dx.doi.org/10.1007/978-3-030-14745-7_12 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92911 Mapping urban fingerprints of odonyms automatically extracted from French novels / Ludovic Moncla in International journal of geographical information science IJGIS, vol 33 n° 12 (December 2019)
[article]
Titre : Mapping urban fingerprints of odonyms automatically extracted from French novels Type de document : Article/Communication Auteurs : Ludovic Moncla , Auteur ; Mauro Gaio, Auteur ; Thierry Joliveau, Auteur ; Yves-François Le Lay, Auteur ; Pierre-Olivier Mazagol, Auteur Année de publication : 2019 Article en page(s) : pp 2477 - 2497 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie
[Termes IGN] dix-neuvième siècle
[Termes IGN] empreinte
[Termes IGN] extraction automatique
[Termes IGN] Geoparsing
[Termes IGN] langage naturel (informatique)
[Termes IGN] littérature
[Termes IGN] odonymie
[Termes IGN] Paris (75)
[Termes IGN] reconnaissance de noms
[Termes IGN] route
[Termes IGN] traitement du langage naturelRésumé : (auteur) In this paper, we propose and discuss a methodology to map the spatial fingerprints of novels and authors based on all of the named urban roads (i.e., odonyms) extracted from novels. We present several ways to explore Parisian space and fictional landscapes by interactively and simultaneously browsing geographical space and literary text. Our project involves building a platform capable of retrieving, mapping and analyzing the occurrences of named urban roads in novels in which the action occurs wholly or partly in Paris. This platform will be used in several areas, such as cultural tourism, urban research, and literary analysis. The paper focuses on extracting named urban roads and mapping the results for a sample of 31 novels published between 1800 and 1914. Two approaches to the annotation of odonyms are compared. First, we describe a proof of concept using queries made via the TXM textual analysis platform. Then, we describe an automatic process using a natural language processing (NLP) method. Additionally, we mention how the geosemantic information annotated from the text (e.g., a structure combining verbs, spatial relations, named entities, adjectives and adverbs) can be used to automatically characterize the semantic content associated with named urban roads. Numéro de notice : A2019-427 Affiliation des auteurs : non IGN Thématique : TOPONYMIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1584804 Date de publication en ligne : 17/03/2019 En ligne : https://doi.org/10.1080/13658816.2019.1584804 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93560
in International journal of geographical information science IJGIS > vol 33 n° 12 (December 2019) . - pp 2477 - 2497[article]Performance analysis of GLONASS integration with GPS vectorised receiver in urban canyon positioning / Amir Tabatabaei in Survey review, vol 51 n° 368 (September 2019)
[article]
Titre : Performance analysis of GLONASS integration with GPS vectorised receiver in urban canyon positioning Type de document : Article/Communication Auteurs : Amir Tabatabaei, Auteur ; Mohammad-Reza Mosavi, Auteur Année de publication : 2019 Article en page(s) : pp 460 - 471 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] canyon urbain
[Termes IGN] positionnement par GNSS
[Termes IGN] positionnement statique
[Termes IGN] récepteur GLONASS
[Termes IGN] récepteur GPS
[Termes IGN] test de performanceRésumé : (Auteur) Urban-canyon positioning encounters many problems such as successive attenuation and even blocking of the signals. Vectorised receiver is a solution in which stronger signals aid weak and blocked ones to be tracked and reacquired. On the other hand, limited accessibility to the sky makes trouble in the performance of navigation filter. As the result, integration of satellite-based positioning systems is suggested to increase the number of visible satellites in the receiver view. In this paper, the architecture of an implemented GPS-combined-GLONASS Vectorised Receiver (GGVR) in a software platform is explored and its advantages rather than a GPS-only Vectorised Receiver (GVR) are demonstrated analytically. Experimental tests in different static and dynamic scenarios are also included. The results show that in the urban-canyon trajectory where the GVR has only 80% availability, the GGVR positioning solution is 100% available in the whole movement duration. Numéro de notice : A2019-387 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1481181 Date de publication en ligne : 13/06/2018 En ligne : https://doi.org/10.1080/00396265.2018.1481181 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93477
in Survey review > vol 51 n° 368 (September 2019) . - pp 460 - 471[article]Exploitation of deep learning in the automatic detection of cracks on paved roads / Won Mo Jung in Geomatica, vol 73 n° 2 (June 2019)
[article]
Titre : Exploitation of deep learning in the automatic detection of cracks on paved roads Type de document : Article/Communication Auteurs : Won Mo Jung, Auteur ; Faizaan Naveed, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 29 - 44 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] autoroute
[Termes IGN] chaussée
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] détection d'objet
[Termes IGN] Ontario (Canada)Mots-clés libres : fissure Résumé : (auteur) With the advance of deep learning networks, their applications in the assessment of pavement conditions are gaining more attention. A convolutional neural network (CNN) is the most commonly used network in image classification. In terms of pavement assessment, most existing CNNs are designed to only distinguish between cracks and non-cracks. Few networks classify cracks in different levels of severity. Information on the severity of pavement cracks is critical for pavement repair services. In this study, the state-of-the-art CNN used in the detection of pavement cracks was improved to localize the cracks and identify their distress levels based on three categories (low, medium, and high). In addition, a fully convolutional network (FCN) was, for the first time, utilized in the detection of pavement cracks. These designed architectures were validated using the data acquired on four highways in Ontario, Canada, and compared with the ground truth that was provided by the Ministry of Transportation of Ontario (MTO). The results showed that with the improved CNN, the prediction precision on a series of test image patches were 72.9%, 73.9%, and 73.1% for cracks with the severity levels of low, medium, and high, respectively. The precision for the FCN was tested on whole pavement images, resulting in 62.8%, 63.3%, and 66.4%, respectively, for cracks with the severity levels of low, medium, and high. It is worth mentioning that the ground truth contained some uncertainties, which partially contributed to the relatively low precision. Numéro de notice : A2019-657 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.1139/geomat-2019-0008 En ligne : https://doi.org/10.1139/geomat-2019-0008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98324
in Geomatica > vol 73 n° 2 (June 2019) . - pp 29 - 44[article]A time‐geographic approach to quantifying wildlife–road interactions / Rebecca W. Loraamm in Transactions in GIS, vol 23 n° 1 (February 2019)PermalinkPermalinkA geometric-based approach for road matching on multi-scale datasets using a genetic algorithm / Alireza Chehreghan in Cartography and Geographic Information Science, Vol 45 n° 3 (May 2018)PermalinkGenerative street addresses from satellite imagery / İlke Demir in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)PermalinkLabelling hierarchy for street maps using centrality measures / Wasim Shoman in Cartographic journal (the), vol 55 n° 1 (February 2018)PermalinkCentrality-based hierarchy for street network generalization in multi-resolution maps / Wasim Shoman in Geocarto international, vol 32 n° 12 (December 2017)PermalinkLa carte de la Route des Grandes Alpes / Anonyme in Géomatique expert, n° 116 (mai - juin 2017)PermalinkAuscultation de l'état de surface de revêtements routiers par photogrammétrie automatisée / Gildas Allaz in Géomatique suisse, vol 114 n° 1 (janvier 2016)PermalinkPermalinkA function-based linear map symbol building and rendering method using shader language / Songshan Yue in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)Permalink