International journal of cartography / Association cartographique internationale . vol 8 n° 1Mention de date : March 2022 Paru le : 01/03/2022 |
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Ajouter le résultat dans votre panierReBankment: displacing embankment lines from roads and rivers with a least squares adjustment / Guillaume Touya in International journal of cartography, vol 8 n° 1 (March 2022)
[article]
Titre : ReBankment: displacing embankment lines from roads and rivers with a least squares adjustment Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Imran Lokhat , Auteur Année de publication : 2022 Projets : 1-Pas de projet / Article en page(s) : pp 37 - 53 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de généralisation
[Termes IGN] compensation par moindres carrés
[Termes IGN] données topographiques
[Termes IGN] talus
[Vedettes matières IGN] GénéralisationRésumé : (auteur) While the recent progress on automated generalisation helped National Mapping Agencies to derive topographic maps more and more quickly, there are still practical cartographic issues that require attention. For instance, embankments are represented with line symbols showing the slope of the embankment. This paper proposes an automated algorithm called ReBankment that displaces the embankment lines from the roads and rivers that overlap the embankment symbol. ReBankment is based on a triangulation to identify neighbourhoods, and on a least squares adjustment to displace and distort the embankment line while preserving its shape. This paper also proposes how to handle complex cases and scaling issues. ReBankment is tested on real data from a 1:25k scale topographic map. Numéro de notice : A2022-006 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2021.1972787 Date de publication en ligne : 18/10/2021 En ligne : https://doi.org/10.1080/23729333.2021.1972787 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98838
in International journal of cartography > vol 8 n° 1 (March 2022) . - pp 37 - 53[article]Neural map style transfer exploration with GANs / Sidonie Christophe in International journal of cartography, vol 8 n° 1 (March 2022)
[article]
Titre : Neural map style transfer exploration with GANs Type de document : Article/Communication Auteurs : Sidonie Christophe , Auteur ; Samuel Mermet , Auteur ; Morgan Laurent, Auteur ; Guillaume Touya , Auteur Année de publication : 2022 Projets : 1-Pas de projet / Article en page(s) : pp 18 - 36 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage profond
[Termes IGN] classification non dirigée
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] données d'entrainement (apprentissage automatique)
[Termes IGN] grille d'échantillonnage
[Termes IGN] orthoimage
[Termes IGN] représentation cartographique
[Termes IGN] réseau antagoniste génératif
[Termes IGN] style cartographique
[Termes IGN] visualisation cartographique
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Neural Style Transfer is a Computer Vision topic intending to transfer the visual appearance or the style of images to other images. Developments in deep learning nicely generate stylized images from texture-based examples or transfer the style of a photograph to another one. In map design, the style is a multi-dimensional complex problem related to recognizable visual salient features and topological arrangements, supporting the description of geographic spaces at a specific scale. The map style transfer is still at stake to generate a diversity of possible new styles to render geographical features. Generative adversarial Networks (GANs) techniques, well supporting image-to-image translation tasks, offer new perspectives for map style transfer. We propose to use accessible GAN architectures, in order to experiment and assess neural map style transfer to ortho-images, while using different map designs of various geographic spaces, from simple-styled (Plan maps) to complex-styled (old Cassini, Etat-Major, or Scan50 B&W). This transfer task and our global protocol are presented, including the sampling grid, the training and test of Pix2Pix and CycleGAN models, such as the perceptual assessment of the generated outputs. Promising results are discussed, opening research issues for neural map style transfer exploration with GANs. Numéro de notice : A2022-172 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2022.2031554 Date de publication en ligne : 13/02/2022 En ligne : https://doi.org/10.1080/23729333.2022.2031554 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99807
in International journal of cartography > vol 8 n° 1 (March 2022) . - pp 18 - 36[article]Accessing spatial knowledge networks with maps / Markus Jobst in International journal of cartography, vol 8 n° 1 (March 2022)
[article]
Titre : Accessing spatial knowledge networks with maps Type de document : Article/Communication Auteurs : Markus Jobst, Auteur ; Georg Gartner, Auteur Année de publication : 2022 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agrégation spatiale
[Termes IGN] généralisation automatique de données
[Termes IGN] intégration de données
[Termes IGN] jumeau numérique
[Termes IGN] ontologie
[Termes IGN] réseau sémantique
[Vedettes matières IGN] CartologieRésumé : (auteur) Currently, knowledge networks develop to establish common data spaces. A common data-space offers mutual exchange and reusability for data sources and their derived information and provides access to structured knowledge and even creates wisdom. The geospatial domain becomes included in those knowledge networks and, therefore, creates spatial knowledge networks. ‘Geospatial’ is moving from a special expert domain to a ‘normal’ common data source that is processed for specific data science use cases. Maps with their different levels of abstraction according to its transmission task may offer (1) strategies to enhance processing performance, due to its abstraction, (2) persistent references of map features throughout different scales (abstractions) and (3) improvement of the transmission of spatial information, which includes the transmission interfaces as well as geo-communication. This paper tries to identify new functions for maps in new developing application areas. For example, a ‘universal semantic structure of topographic content’ could help to establish relations/links across domains that only have their own feature keys. We try to set the scene of cartography in a common data-space and highlight some requirements in the world of spatial knowledge networks, which are needed for automatization, machine learning and AI. According to Gordon and de Souza location matters: ‘Mapping is not simply a mode of visualisation, but a “central organizational device for networked communications”, an adaptive interface through which users can access, alter and deploy an expansive database of information, and a platform to socialize spatial information through collective editing, annotations, discussion, etc.’. Numéro de notice : A2022-306 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/23729333.2021.1972910 Date de publication en ligne : 06/09/2021 En ligne : https://doi.org/10.1080/23729333.2021.1972910 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100394
in International journal of cartography > vol 8 n° 1 (March 2022)[article]Perspectives about implementation of colour codes on maps accessible to blind people / Niédja Sodré de Araújo in International journal of cartography, vol 8 n° 1 (March 2022)
[article]
Titre : Perspectives about implementation of colour codes on maps accessible to blind people Type de document : Article/Communication Auteurs : Niédja Sodré de Araújo, Auteur ; Luciene Stamato Delazari, Auteur ; Amanda Pereira Antunes, Auteur ; Andrea Faria Andrade, Auteur Année de publication : 2022 Article en page(s) : pp 133 - 147 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Rédaction cartographique
[Termes IGN] carte tactile
[Termes IGN] couleur imprimée
[Termes IGN] personne malvoyanteRésumé : (auteur) Tactile colour codes or tactile symbols were developed for communicating colours to blind people. Initially, these colour codes were designed to enable blind or visually impaired people to choose their own clothes and learn colour theory. The objective of this research is to investigate the perspectives of geoinformation professionals on the viability of implementing colour codes on thematic tactile maps using only the graphic primitive area. Thus, geoinformation professionals were invited to express their perspectives on ten colour code systems during and after the “I Workshop Usability 4 All”, which took place during the “XI Brazilian Colloquium on Geodetic Sciences”, Brazil, 2020. The results indicated that there is no consensus on which system is more appropriate for experimentation on tactile maps. However, Feelipa Color and See Color were the systems that showed the greatest potential as six participants preferred the first and five preferred the latter. This is associated with the fact that both systems were classified as relatively viable or potentially viable for implementation in the primitive area, considering the aspects of Drawing, Dimensions and Intuitiveness. Numéro de notice : A2022-307 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/23729333.2021.1980938 Date de publication en ligne : 20/10/2021 En ligne : https://doi.org/10.1080/23729333.2021.1980938 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100395
in International journal of cartography > vol 8 n° 1 (March 2022) . - pp 133 - 147[article]