Centre dedocumentation
scientifique

Toward green cartography & visualization: a semantically-enriched method of generating energy-aware color schemes for digital maps / Yangli Han in Cartography and Geographic Information Science, vol 48 n° 1 (January 2021)  

Public [article]  inCartography and Geographic Information Science > vol 48 n° 1 (January 2021) . - pp 43 - 62 Titre : Toward green cartography & visualization: a semantically-enriched method of generating energy-aware color schemes for digital maps Type de document : Article/Communication Auteurs : Yangli Han, Auteur ; Mingguang Wu, Auteur ; Robert Roth, Auteur Année de publication : 2021 Article en page(s) : pp 43 - 62 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] amélioration des couleurs [Termes descripteurs IGN] cartographie pour écran mobile [Termes descripteurs IGN] conception cartographique [Termes descripteurs IGN] couleur (rédaction cartographique) [Termes descripteurs IGN] économie d'énergie [Termes descripteurs IGN] enrichissement sémantique [Termes descripteurs IGN] impact sur l'environnement [Termes descripteurs IGN] optimisation (mathématiques) [Termes descripteurs IGN] relation sémantique [Termes descripteurs IGN] téléphone intelligent [Termes descripteurs IGN] visualisation cartographique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) We introduce a semantically-enriched method of generating color schemes for various types of digital maps that reduces the energy consumption of the display device while preserving the quality of the original design. Energy-aware design intersects two important trends in cartography. First, as more maps are viewed today on mobile, battery life has become a central constraint influencing design. Second, there is increasing need for green computing, which encourages the efficient use of energy to limit environmental impacts. This paper focuses on one important aspect of energy-aware cartography: color design. Existing research on energy-aware color adjustment methods apply broadly to images or websites. However, the colors used in maps have more structured semantic relationships than most documents viewed on mobile devices, and efforts to account for these relationships while reducing energy consumption are limited. To fill this gap, we mathematically formalize energy-aware map-color adjustment as a constrained optimization problem: we define energy consumption as the objective function and model the preservation of semantic relationships as the search constraints. We evaluate our proposed method against a common color dimming method using four maps with different semantic relationships. The evaluation suggests that our proposed method better preserves the original color semantics. Numéro de notice : A2021-018 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.1827040 date de publication en ligne : 05/11/2020 En ligne : https://doi.org/10.1080/15230406.2020.1827040 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96457 [article]

Deep learning for enrichment of vector spatial databases: Application to highway interchange / Guillaume Touya in ACM Transactions on spatial algorithms and systems, vol 6 n° 3 (May 2020)    

Public [article]  inACM Transactions on spatial algorithms and systems > vol 6 n° 3 (May 2020) . - 21 p. Titre : Deep learning for enrichment of vector spatial databases: Application to highway interchange Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Imran Lokhat , Auteur Année de publication : 2020 Projets : 1-Pas de projet / Article en page(s) : 21 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] apprentissage profond [Termes descripteurs IGN] base d'apprentissage [Termes descripteurs IGN] base de données vectorielles [Termes descripteurs IGN] classification par réseau neuronal convolutif [Termes descripteurs IGN] échangeur routier [Termes descripteurs IGN] enrichissement sémantique [Termes descripteurs IGN] reconnaissance d'objets [Termes descripteurs IGN] segmentation d'image Résumé : (auteur) Spatial analysis and pattern recognition with vector spatial data is particularly useful to enrich raw data. In road networks, for instance, there are many patterns and structures that are implicit with only road line features, among which highway interchange appeared very complex to recognize with vector-based techniques. The goal is to find the roads that belong to an interchange, such as the slip roads and the highway roads connected to the slip roads. To go further than state-of-the-art vector-based techniques, this article proposes to use raster-based deep learning techniques to recognize highway interchanges. The contribution of this work is to study how to optimally convert vector data into small images suitable for state-of-the-art deep learning models. Image classification with a convolutional neural network (i.e., is there an interchange in this image or not?) and image segmentation with a u-net (i.e., find the pixels that cover the interchange) are experimented and give better results than existing vector-based techniques in this specific use case (99.5% against 74%). Numéro de notice : A2020-365 Affiliation des auteurs : LaSTIG COGIT (2012-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1145/3382080 date de publication en ligne : 01/04/2020 En ligne : https://doi.org/10.1145/3382080 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95399 [article]

Documents numériques

peut être téléchargé Deep learning for enrichment of vector spatial databases ... - preprint Adobe Acrobat PDF

An IEEE value loop of human-technology collaboration in geospatial information science / Liqiu Meng in Geo-spatial Information Science, vol 23 n° 1 (March 2020)  

Public [article]  inGeo-spatial Information Science > vol 23 n° 1 (March 2020) . - pp 61- 67 Titre : An IEEE value loop of human-technology collaboration in geospatial information science Type de document : Article/Communication Auteurs : Liqiu Meng, Auteur Année de publication : 2020 Article en page(s) : pp 61- 67 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes descripteurs IGN] analyse géovisuelle [Termes descripteurs IGN] approche holistique [Termes descripteurs IGN] données localisées numériques [Termes descripteurs IGN] enrichissement sémantique [Termes descripteurs IGN] éthique [Termes descripteurs IGN] géographie sociale [Termes descripteurs IGN] information sémantique [Termes descripteurs IGN] intégration de données [Termes descripteurs IGN] intelligence artificielle [Termes descripteurs IGN] interface homme-machine [Termes descripteurs IGN] recherche interdisciplinaire [Termes descripteurs IGN] web sémantique Résumé : (auteur) Geosensing and social sensing as two digitalization mainstreams in big data era are increasingly converging toward an integrated system for the creation of semantically enriched digital Earth. Along with the rapid developments of AI technologies, this convergence has inevitably brought about a number of transformations. On the one hand, value-adding chains from raw data to products and services are becoming value-adding loops composed of four successive stages – Informing, Enabling, Engaging and Empowering (IEEE). Each stage is a dynamic loop for itself. On the other hand, the “human versus technology” relationship is upgraded toward a game-changing “human and technology” collaboration. The information loop is essentially shaped by the omnipresent reciprocity between humans and technologies as equal partners, co-learners and co-creators of new values. The paper gives an analytical review on the mutually changing roles and responsibilities of humans and technologies in the individual stages of the IEEE loop, with the aim to promote a holistic understanding of the state of the art of geospatial information science. Meanwhile, the author elicits a number of challenges facing the interwoven human-technology collaboration. The transformation to a growth mind-set may take time to realize and consolidate. Research works on large-scale semantic data integration are just in the beginning. User experiences of geovisual analytic approaches are far from being systematically studied. Finally, the ethical concerns for the handling of semantically enriched digital Earth cover not only the sensitive issues related to privacy violation, copyright infringement, abuse, etc. but also the questions of how to make technologies as controllable and understandable as possible for humans and how to keep the technological ethos within its constructive sphere of societal influence. Numéro de notice : A2020-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10095020.2020.1718004 date de publication en ligne : 23/01/2020 En ligne : https://doi.org/10.1080/10095020.2020.1718004 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94823 [article]

Composition of place: towards a compositional view of functional space / Emmanuel Papadakis in Cartography and Geographic Information Science, Vol 47 n° 1 (January 2020)  

Public [article]  inCartography and Geographic Information Science > Vol 47 n° 1 (January 2020) . - pp 28 - 45 Titre : Composition of place: towards a compositional view of functional space Type de document : Article/Communication Auteurs : Emmanuel Papadakis, Auteur ; Bernd Resch, Auteur ; Thomas Blaschke, Auteur Année de publication : 2020 Article en page(s) : pp 28 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] approche holistique [Termes descripteurs IGN] enrichissement sémantique [Termes descripteurs IGN] information géographique [Termes descripteurs IGN] interaction humain-espace [Termes descripteurs IGN] modélisation spatiale [Termes descripteurs IGN] organisation spatiale [Termes descripteurs IGN] représentation spatiale [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notion of place. However, these approaches give emphasis on either space or human meaning, or they mainly exist as concepts without practically proven usable artifacts. A partial answer to this problem was proposed by the function-based model that treats place as functional space. This paper focuses primarily on the level of composition, describing and formalizing it as a rule-based framework with the following objectives: (a) contribute to the formalization efforts of the notion of place and its integration within GIS and (b) maintain tangible properties intertwined with the human understanding of place. The operationalization potential of the proposed framework is illustrated with an example of identifying the shopping areas in an urban region. The results show that the proposed model is able to capture all shopping malls as well as other areas that are not explicitly labeled as such but still function similarly to a shopping mall. Numéro de notice : A2020-006 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1598894 date de publication en ligne : 06/06/2019 En ligne : https://doi.org/10.1080/15230406.2019.1598894 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94343 [article]

SEH-SDB : a semantically enriched historical spatial database for documentation and preservation of monumental heritage based on CityGML / Reda Yaagoubi in Applied geomatics, vol 11 n° 1 (March 2019)  

Public [article]  inApplied geomatics > vol 11 n° 1 (March 2019) . - pp 53 - 68 Titre : SEH-SDB : a semantically enriched historical spatial database for documentation and preservation of monumental heritage based on CityGML Type de document : Article/Communication Auteurs : Reda Yaagoubi, Auteur ; Abdulkader Al-Gilani, Auteur ; Ahmad Baik, Auteur ; Ebraheem Alhomodi, Auteur ; Yehia Miky, Auteur Année de publication : 2019 Article en page(s) : pp 53 - 68 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes descripteurs IGN] base de données localisées [Termes descripteurs IGN] CityGML [Termes descripteurs IGN] Djeddah [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] enrichissement sémantique [Termes descripteurs IGN] modélisation 3D du bâti BIM [Termes descripteurs IGN] patrimoine immobilier [Termes descripteurs IGN] préservation [Termes descripteurs IGN] SIG 3D Résumé : (Auteur) Cultural heritage has a great and inestimable value for communities. Unfortunately, several historical monuments are under deteriorating conditions mainly due to the lack of knowledge about their historical importance. Hence, it is necessary to provide efficient solutions to preserve these monuments. An effective approach for the preservation of cultural heritage should address two main aspects: documentation and information. The first aspect is related to methods that are used to document and digitally archive historic buildings by using appropriate materials and techniques for acquiring 3D spatial data. The second aspect aims to inform the population and policy makers about the importance of the historical heritage in a simple, effective, and interactive manner. In this paper, we propose an original approach to design a semantically enriched historical spatial database (SEH-SDB) for documentation and information of monumental heritage. First of all, a LiDAR acquisition of the historical heritage should be undertaken to capture its current condition. Then, the SEH-SDB database will be designed according to four semantic packages related to historical buildings that are (1) Components package, (2) Material package, (3) Historical package, and (4) Social package. The component package is based on the CityGML standard, which ensures a high interoperability for 3D models. The material package represents the material used in the construction of the building (wood, stone …). The historical package informs about historical elements that characterize the building and its temporal evolution. The social package aims to inform about the main social activities that may take place in the historical building. Based on the SEH-SDB, a 3D historical GIS is developed to provide rich semantic information about historical sites. At the end of this paper, a case study of a historical monument named “Ribat Banajah” in Jeddah Historical City in Saudi Arabia is presented. A digital archiving of the current state of this building is performed by using terrestrial LiDAR in combination with other classical surveying techniques (traversing, leveling, and GPS). Then, a building information model of this building is created and exported to the 3D HGIS designed for the documentation of historical buildings. Numéro de notice : A2019-161 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0238-y date de publication en ligne : 28/08/2018 En ligne : https://doi.org/10.1007/s12518-018-0238-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92522 [article]

Enrichissement d'orthophotographie par des données OpenStreetMap pour l'apprentissage machine / Gauthier Fillières-Riveau (2019)    

Permalink

Integration of lidar data and GIS data for point cloud semantic enrichment at the point level / Harith Aljumaily in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 1 (January 2019)  

Permalink

Land cover mapping at very high resolution with rotation equivariant CNNs : Towards small yet accurate models / Diego Marcos in ISPRS Journal of photogrammetry and remote sensing, vol 145 - part A (November 2018)  

Permalink

OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project / Amin Mobasheri in Geo-spatial Information Science, vol 21 n° 3 (October 2018)  

Permalink

A framework for annotating OpenStreetMap objects using geo-tagged tweets / Xin Chen in Geoinformatica [en ligne], vol 22 n° 3 (July 2018)  

Permalink

Visual analytics of human mobility behavior / Robert Lutz Krüger (2017) 

Permalink

European handbook of crowdsourced geographic information, ch. 14. Querying VGI by semantic enrichment / Robert Lemmens (2016)    

Permalink

Extraction et Gestion des Connaissances, EGC 2008, 8es journées francophones, 29 janvier 2008, Sophia Antipolis, France / Marie-Aude Aufaure Portier (2008)

Permalink

Atelier thématique GDR I3, 3 juillet 2007, Grenoble, France / Philippe Laublet (2007) 

Permalink

Formalisation des spécifications de bases de données géographiques pour une meilleure compréhension des données / Nils Gesbert (2004)

Permalink