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Titre : AlpineBends – A benchmark for deep learning-based generalisation Type de document : Article/Communication Auteurs : Azelle Courtial , Auteur ; Guillaume Touya , Auteur ; Xiang Zhang, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2022 Collection : Abstracts of the ICA num. 4 Projets : 1-Pas de projet / Conférence : ICA 2021, 24th ICA Workshop on Map Generalisation and Multiple Representation 13/12/2021 13/12/2021 Florence Italie OA Proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage profond
[Termes IGN] données maillées
[Termes IGN] objet géographique
[Termes IGN] test de performance
[Vedettes matières IGN] GénéralisationRésumé : (auteur) [début] Raster-based map generalization is nowadays anecdotal, as most generalization operations are performed using vector data. Vectors describe the shape of each object in the map using a set of coordinates; thus, the object delimitation is directly accessible, and the topology and distance-based relations are easy to compute. On the contrary, rasters represent a map as an image, a grid of pixel covers the target area, and each pixel is characterised by a value. This representation does not explicitly model the boundary/shape of geographic objects and the relations between them. However, the emergence of the image-based deep learning techniques has shown an ability to process images of geographic information. The question of their adaptation for map generalization is a trendy subject: road (Courtial et al. 2020), building (Feng et al. 2019) and coastline (Du et al. 2021) generalization have been explored in recent years. Common methods for evaluating these techniques seems to be necessary for the comparison and development of this field. Numéro de notice : C2021-067 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-4-1-2022 Date de publication en ligne : 14/01/2022 En ligne : https://doi.org/10.5194/ica-abs-4-1-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99535
Titre : ATLANTIS : Une ontologie pour représenter les Instructions nautiques Type de document : Article/Communication Auteurs : Helen Mair Rawsthorne , Auteur ; Nathalie Abadie , Auteur ; Eric Kergosien, Auteur ; Cécile Duchêne , Auteur ; Eric Saux, Auteur Editeur : Orsay, Chambéry : Association Française de l'Intelligence Artificielle AFIA Année de publication : 2022 Projets : 1-Pas de projet / Conférence : IC 2022, 33es journées francophones d'Ingénierie des connaissances 27/06/2022 01/07/2022 Saint-Étienne France OA Proceedings Importance : pp 154 - 163 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] base de connaissances
[Termes IGN] ingénierie des connaissances
[Termes IGN] intelligence artificielle
[Termes IGN] navigation maritime
[Termes IGN] ontologie
[Termes IGN] représentation des connaissances
[Termes IGN] thesaurusMots-clés libres : Simplified Agile Methodology for Ontology Development (SAMOD) Résumé : (Auteur) Les Instructions nautiques sont une série d’ouvrages produits et publiés par le Service hydrographique et océanographique de la Marine (SHOM) qui donnent aux navigateurs les informations nécessaires pour naviguer près des côtes et accéder aux ports. Dans cet article, nous présentons l’ontologie ATLANTIS (coAsTaL mAritime NavigaTion InstructionS) que nous avons développée pour modéliser les connaissances contenues dans ces ouvrages, ainsi qu’un retour d’expérience et des adaptations que nous avons apportées à la Simplified Agile Methodology for Ontology Development (SAMOD), la méthodologie de développement d’ontologies que nous avons employée. Numéro de notice : C2022-029 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans Date de publication en ligne : 14/06/2022 En ligne : https://hal.science/hal-03695242v2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101029 Documents numériques
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ATLANTIS : Une ontologie ... - pdf éditeurAdobe Acrobat PDF ATONTE: towards a new methodology for seed ontology development from texts and experts / Helen Mair Rawsthorne (2022)
Titre : ATONTE: towards a new methodology for seed ontology development from texts and experts Type de document : Article/Communication Auteurs : Helen Mair Rawsthorne , Auteur ; Nathalie Abadie , Auteur ; Eric Kergosien, Auteur ; Cécile Duchêne , Auteur ; Eric Saux, Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2022 Projets : 1-Pas de projet / Conférence : EKAW 2022, 23rd international conference on knowledge engineering and knowledge management 26/09/2022 29/09/2022 Bozen-Bolzano Italie Proceedings Springer Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] connaissance thématique
[Termes IGN] corpus
[Termes IGN] ontologie
[Termes IGN] réseau sémantiqueRésumé : (auteur) ATONTE (ATlantis methodology for ONtology development from Texts and Experts) is a methodology for the manual development of low-level seed ontologies. The modelling process is based on a combination of knowledge from non-fiction text corpora such as manuals, information guides or sets of instructions, and the knowledge of domain experts. This article presents the five key steps of the ATONTE process. Seed ontologies created with ATONTE can be used to develop and populate knowledge graphs for use in specific applications within given technical domains. Numéro de notice : C2022-010 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : texte de soumission Thématique : GEOMATIQUE Nature : Poster nature-HAL : Poster-avec-CL DOI : sans En ligne : https://hal.science/hal-03794323v1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102120 Cultural Heritage and Climate Change: New challenges and perspectives for research / Christopher Ballard (2022)
Titre : Cultural Heritage and Climate Change: New challenges and perspectives for research : White paper from JPI Cultural Heritage & JPI Climate Type de document : Rapport Auteurs : Christopher Ballard, Auteur ; Nacima Baron, Auteur ; Ann Bourgès, Auteur ; Bénédicte Bucher , Auteur ; et al., Auteur Editeur : European Union Année de publication : 2022 Projets : 1-Pas de projet / Importance : 32 p. Note générale : Auteurs : Christopher Ballard, Nacima Baron, Ann Bourgès, Bénédicte Bucher, May Cassar, Marie-Yvane Daire, Cathy Daly, Aitziber Egusquiza, Sandra Fatoric, Cornelius Holtorf , Menne Kosian , Roger-Alexandre Lefevre Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] changement climatique
[Termes IGN] patrimoine culturel
[Termes IGN] protection du patrimoineRésumé : (auteur) Collaboration between the two Joint Programming Initiatives “Cultural Heritage and Global Change” (JPI CH), and “Connecting Climate Knowledge for Europe” (JPI Climate) began in 2019 and led to the organisation of a joint workshop a year later. Following the recommendations in the workshop report, an expert working group was set up to scope research gaps and opportunities at the interface of cultural heritage and climate change, culminating in the publication of this White Paper. This strategic document is expected to support the two JPIs to generate policy-relevant research outcomes. Four key messages are brought forth reviewing the state of the art in the field of cultural heritage and climate change research:
• Research on individual geopolitical regions, or a few in immediate vicinity of one another, remains prevalent: there is an opportunity to stimulate research and knowledge exchange that crosscuts several regions which - although geographically disparate - present common challenges and opportunities.
• Quantitative and qualitative methods remain siloed in their applications; mixed methods, which reflect a cross-disciplinary approach, are more likely to be found in pre-policy publications.
• There is a need for further understanding of culture and heritage as embedded in their socio-environmental contexts to inform policy, including the role of traditional and local knowledge, as well as learning from the past.
• The ecological and social impacts related to losses and opportunities for cultural assets and values from adaptation and mitigation need to be researched more intensively.
Based on this comprehensive literature review, key research gaps and priorities under five themes have been identified for the European region and beyond that require more advanced knowledge in the coming years and that should be addressed by researchers to support climate adaptation and mitigation measures:
• Addressing the Climate Emergency: Strengthening the commitment of the cultural heritage sector to address the climate emergency
• The Impacts of Climate Change: Predicting and assessing the impacts of climate change on and through cultural heritage
• Protecting Cultural Heritage: Building protection and adaptation strategies for cultural heritage
• Contributing to Climate Adaptation: Assessing the potential of cultural heritage to inform the development of climate adaptation
• Cultural Heritage as a Resource: Investigating how cultural heritage can support societal transformations and be a resource for climate mitigation and sustainable futures.
To address the research gaps and priorities, both JPIs propose three types of instrument that could be used in supporting collaborative efforts between and beyond the two initiatives:
• Funding instruments enable the mobilisation of new research funding from the participating partners to launch joint funding calls, to provide better use of public resources, add value and avoid duplication.
• Networking and capacity building instruments focus on knowledge exchange, capacity building, communication and dissemination across relevant communities and promote joint activities between these communities, in cooperation with other instruments.
• Exploration and assessment instruments touch upon those required to gather, assess, and synthesise knowledge needed to inform and guide decisions on addressing the knowledge gaps identified in this White Paper.
Both JPIs will work hard to support and promote, on the one hand, research that complements, and builds upon existing findings and ensures that these contribute to future prevention and adaptation policies; and on the other hand, research that further explores how to make cultural heritage a readily available resource for climate mitigation and sustainable development.Numéro de notice : 10662 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Rapport nature-HAL : Rapport DOI : sans En ligne : https://www.heritageresearch-hub.eu/app/uploads/2022/03/White-Paper-March-2022-d [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102854
Titre : Deep-learning based multiple land-cover map translation Type de document : Article/Communication Auteurs : Luc Baudoux , Auteur ; Jordi Inglada, Auteur ; Clément Mallet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2022 Projets : 1-Pas de projet / Conférence : IGARSS 2022, IEEE International Geoscience And Remote Sensing Symposium 17/07/2022 22/07/2022 Kuala Lumpur Malaysie Proceedings IEEE Importance : pp 1260 - 1263 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] apprentissage profond
[Termes IGN] base de données d'occupation du sol
[Termes IGN] cadre conceptuel
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] segmentation sémantiqueRésumé : (auteur) This paper presents a framework for simultaneously translating multiple land-cover maps into a given one in a supervised way. Conversely to existing approaches working on 1–1 translation, we propose a multi-translation setup that increases the generalizability and translation performance, especially on land-cover maps covering restricted spatial extents. The proposed method mainly assumes that the map of interest spatially overlaps at least with one of the other maps. High performance translation is achieved with a Convolutional Neural Network (CNN) based encoder-decoder frame-work trained with three goals: (i) high-quality translation; (ii) self-reconstruction ability; (iii) mapping of all datasets into a common representation space. Country-scale experimental results show the method effectiveness in translating six highly heterogeneous land-cover maps, achieving significantly better results than the traditional semantic-based method and better results than CNN trained for a 1–1 translation task (+ 9.7% in Overall Accuracy (OA) and +12% in macro F1-score (mF1)). Numéro de notice : C2022-039 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : https://hal.science/hal-03983066v1/document Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS46834.2022.9883056 En ligne : https://doi.org/10.1109/IGARSS46834.2022.9883056 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101765 PermalinkGaining insight into the allometric scaling of trees by utilizing 3d reconstructed tree models - a SimpleForest study / Jan Hackenberg (2022)PermalinkUne généralisation de la méthode de partage des poids dans le cas où la base de sondage est continue / Philippe Brion (2022)PermalinkPermalinkPermalinkMulti-criteria geographic analysis for automated cartographic generalization / Guillaume Touya in Cartographic journal (the), vol 59 n° 1 (February 2022)PermalinkPermalinkRepresenting vector geographic information as a tensor for deep learning based map generalisation / Azelle Courtial (2022)PermalinkSurface displacement measurement from remote sensing images, ch. 2. Image matching and optical sensors / Marc Pierrot-Deseilligny (2022)PermalinkSurface displacement measurement from remote sensing images, ch. 9. Anthropogenic activity: Monitoring surface-motion consequences of human activities with spaceborne InSAR / Bénédicte Fruneau (2022)Permalink