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ART-RISK 3.0, a fuzzy-based platform that combine GIS and expert assessments for conservation strategies in cultural heritage / M. Moreno in Journal of Cultural Heritage, vol 55 (May - June 2022)  

Public [article]  inJournal of Cultural Heritage > vol 55 (May - June 2022) . - pp 263 - 276 Titre : ART-RISK 3.0, a fuzzy-based platform that combine GIS and expert assessments for conservation strategies in cultural heritage Type de document : Article/Communication Auteurs : M. Moreno, Auteur ; R. Ortiz, Auteur ; D. Cagigas-Muñiz, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 263 - 276 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse des risques [Termes IGN] conservation du patrimoine [Termes IGN] église [Termes IGN] Espagne [Termes IGN] gelée [Termes IGN] Inférence floue [Termes IGN] inondation [Termes IGN] intelligence artificielle [Termes IGN] logique floue [Termes IGN] monument historique [Termes IGN] patrimoine culturel [Termes IGN] risque naturel [Termes IGN] séisme [Termes IGN] système d'information géographique [Termes IGN] température de l'air Résumé : (auteur) Heritage preservation poses numerous difficulties, especially in emergency situations or during budget cuts. In these contexts, having tools that facilitate efficient and rapid management of hazards-vulnerabilities is a priority for the preventive conservation and triage of cultural assets. This paper presents the first (to the authors' knowledge) free and public availability Artificial Intelligence platform designed for conservation strategies in cultural heritage. Art-Risk 3.0 is a platform designed as a fuzzy-logic inference system that combines information from geographical information system maps with expert assessments, in order to identify the contextual threat level and the degree of vulnerability that heritage buildings present. Thanks to the possibilities that the geographic information system offers, 12 Spanish churches (11th - 16th centuries) were analyzed. The artificial intelligence platform developed makes it possible to analyze the index of hazard, vulnerability and functionality, classify buildings according to the risk in order to do a sustainable use of budgets through the rational management of preventive conservation. The data stored in the system allows identify the danger due to geotechnics, precipitation, torrential downpour, thermal oscillation, frost, earthquake and flooding. Through the use of fuzzy logic, the tool interrelates environmental conditions with 14 other variables related to structural risks and the vulnerability of buildings, which are evaluated through bibliographic search and review of photographic images. The geographic information system has identified torrential rains and thermal oscillations as the environmental threats that mostly impact heritage buildings in Spain. The results obtained highlight the Church of Santiago de Jesús as the most vulnerable building due to a lack of preventive conservation programs. These results, consistent with the inclusion of this monument on the list of heritage at risk defined by Hispania Nostra, corroborate the functionality of the model. Numéro de notice : A2022-472 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.culher.2022.03.012 Date de publication en ligne : 14/04/2022 En ligne : https://doi.org/10.1016/j.culher.2022.03.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100818 [article]

The re-invention of the Goori cultural landscape: Telling the country: Mapping two pockets / Paul Memmott in Cartographica, Vol 57 n° 1 (Spring)  

Public [article]  inCartographica > Vol 57 n° 1 (Spring) . - pp 65-79 Titre : The re-invention of the Goori cultural landscape: Telling the country: Mapping two pockets Type de document : Article/Communication Auteurs : Paul Memmott, Auteur ; Ray Kerkhove, Auteur ; Alex Bond, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 65-79 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Brisbane (Australie) [Termes IGN] communication cartographique [Termes IGN] corpus [Termes IGN] culture [Termes IGN] droit foncier [Termes IGN] ethnologie [Termes IGN] ontologie [Termes IGN] patrimoine culturel [Termes IGN] période coloniale [Termes IGN] Queensland (Australie) [Vedettes matières IGN] Cartologie Résumé : (auteur) This article analyzes the authors’ map of the Aboriginal geography of St Lucia and Long Pocket, two riverine suburbs of Brisbane, upstream of the central business district, and containing two of the University of Queensland’s campuses. The map is a prism into the wider “Goori” Aboriginal society of the early 1800s. The map was generated by two Aboriginal scholars and an anthropologist using a practice-based ontological approach and by historians using early textual sources. The map juxtaposes a geopolitical edge against contemporary metropolitan mapping, providing a foundation of First Nations geography to underlie and undermine the power of colonial and postcolonial cartography. Numéro de notice : A2022-246 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0022 Date de publication en ligne : 15/03/2022 En ligne : https://doi.org/10.3138/cart-2021-0022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100189 [article]

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Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning / Jiayu Wu in Computers, Environment and Urban Systems, vol 91 (January 2022)  

Public [article]  inComputers, Environment and Urban Systems > vol 91 (January 2022) . - n° 101716 Titre : Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning Type de document : Article/Communication Auteurs : Jiayu Wu, Auteur ; Yutian Lu, Auteur ; Hei Gao, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 101716 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] apprentissage automatique [Termes IGN] Chine [Termes IGN] conservation du patrimoine [Termes IGN] distribution spatiale [Termes IGN] données massives [Termes IGN] échantillonnage de données [Termes IGN] Extreme Gradient Machine [Termes IGN] morphologie urbaine [Termes IGN] patrimoine culturel [Termes IGN] planification urbaine [Termes IGN] point d'intérêt [Termes IGN] régularisation de Tychonoff [Termes IGN] variation diurne Résumé : (auteur) The conservation of historical heritage can bring social benefits to cities by promoting community economic development and societal creativity. In the early stages of historical heritage conservation, the focus was on the museum-style concept for individual structures. At present, heritage area vitality is often adopted as a general conservation method to increase the vibrancy of such areas. However, it remains unclear whether urban morphological elements suitable for urban areas can be applied to heritage areas. This study uses ridge regression and LightGBM with multi-source big geospatial data to explore whether urban morphological elements that affect the vitality of heritage and urban areas are consistent or have different spatial distributions and daily variations. From a sample of 12 Chinese cities, our analysis shows the following results. First, factors affecting urban vitality differ from those influencing heritage areas. Second, factors influencing urban and heritage areas' vitality have diurnal variations and differ across cities. The overarching contribution of this study is to propose a quantitative and replicable framework for heritage adaptation, combining urban morphology and vitality measures derived from big geospatial data. This study also extends the understanding of forms of heritage areas and provides theoretical support for heritage conservation, urban construction, and economic development. Numéro de notice : A2022-007 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2021.101716 Date de publication en ligne : 30/09/2021 En ligne : https://doi.org/10.1016/j.compenvurbsys.2021.101716 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99048 [article]

Interactive HGIS platform union of Lublin (1569): A geomatic solution for discovering the Jagiellonian heritage of the city / Jakub Kuna in Journal of Cultural Heritage, vol 53 (January–February 2022)  

Public [article]  inJournal of Cultural Heritage > vol 53 (January–February 2022) . - pp 47 - 71 Titre : Interactive HGIS platform union of Lublin (1569): A geomatic solution for discovering the Jagiellonian heritage of the city Type de document : Article/Communication Auteurs : Jakub Kuna, Auteur ; Jacek Jeremicz, Auteur ; Dagmara Kociuba, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 47 - 71 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] archives [Termes IGN] base de données historiques [Termes IGN] base de données orientée objet [Termes IGN] base de données spatiotemporelles [Termes IGN] carte ancienne [Termes IGN] carte interactive [Termes IGN] patrimoine culturel [Termes IGN] Pologne [Termes IGN] seizième siècle [Termes IGN] système d'information historique [Termes IGN] WebSIG Résumé : (auteur) Lublin in the period of the Lublin Union (1569) is an interdisciplinary research project conducted by the “Grodzka Gate – NN Theatre” Centre in Lublin as a part of the celebration of the 450th anniversary of signing the Union of Lublin Act - one of the most important historical events in 16th-century Europe, during which the Polish-Lithuanian Commonwealth was constituted. This paper aims to present the research process by which an innovative Historical GIS web platform, based on an object-orientated database design, was tested and refined. The portal uses four pillars of spatial-temporal databases (events, people, places, sources) to collect data and develop historical narratives presenting various events in the history of the city and the region. The idea behind the project was to develop an Internet portal that would acknowledge modern users with the historical event of the Union of Lublin from the perspective of the then resident of Lublin. What is known about the 16th-century Lublin? What did the city and its surroundings look like? Who lived in Lublin? Who used to visit it? What architectural elements and traces of cultural heritage have been saved to this day? The reconstruction of the 16th-century urban space was carried out using the retrogression method of 11 early plans and maps of Lublin, verified and supplemented with the latest archaeological findings, accurate architectural research (geo-radar, laser scanning) and an extensive archival query. Thanks to the Historical GIS technology, the research results have been published in the form of a universal platform (www.teatrnn.pl/unia-lubelska), with an interactive web-map of 16th-century Lublin (Google Maps API implementation) and modelling urban facilities with 3D technology (SketchUp & Unity). The designed technological solution is scalable, making it possible to search and combine individual records (e.g. person-event-address) as well as entire groups of records on higher hierarchical levels (social groups - sequences of events - multifaceted maps). The portal editing panel is dedicated to humanists (historians, journalists, sociologists, etc.) without specialist knowledge of GIS. The functions integrated with the CMS facilitate mapping the content collected in the database and embedding the narration in an adequate context of the historical space. As a result, editors preparing a thematic article have a searchable set of documents, facts, people and places at their disposal, and their task is to fill the narrative with descriptive content. This is a universal model for building deep maps and spatial narratives. Numéro de notice : A2022-373 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.culher.2021.11.001 Date de publication en ligne : 27/11/2021 En ligne : https://doi.org/10.1016/j.culher.2021.11.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100618 [article]

Fully automated pose estimation of historical images in the context of 4D geographic information systems utilizing machine learning methods / Ferdinand Maiwald in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 11 (November 2021) . - n° 748 Titre : Fully automated pose estimation of historical images in the context of 4D geographic information systems utilizing machine learning methods Type de document : Article/Communication Auteurs : Ferdinand Maiwald, Auteur ; Christoph Lehmann, Auteur ; Taras Lazariv, Auteur Année de publication : 2021 Article en page(s) : n° 748 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] apprentissage automatique [Termes IGN] chaîne de traitement [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] corrélation à l'aide de traits caractéristiques [Termes IGN] échelle de temps [Termes IGN] estimation de pose [Termes IGN] image ancienne [Termes IGN] image terrestre [Termes IGN] métadonnées [Termes IGN] modélisation 4D [Termes IGN] patrimoine culturel [Termes IGN] recherche d'image basée sur le contenu [Termes IGN] récupération de données [Termes IGN] structure-from-motion [Termes IGN] système d'information géographique Résumé : (auteur) The idea of virtual time machines in digital environments like hand-held virtual reality or four-dimensional (4D) geographic information systems requires an accurate positioning and orientation of urban historical images. The browsing of large repositories to retrieve historical images and their subsequent precise pose estimation is still a manual and time-consuming process in the field of Cultural Heritage. This contribution presents an end-to-end pipeline from finding relevant images with utilization of content-based image retrieval to photogrammetric pose estimation of large historical terrestrial image datasets. Image retrieval as well as pose estimation are challenging tasks and are subjects of current research. Thereby, research has a strong focus on contemporary images but the methods are not considered for a use on historical image material. The first part of the pipeline comprises the precise selection of many relevant historical images based on a few example images (so called query images) by using content-based image retrieval. Therefore, two different retrieval approaches based on convolutional neural networks (CNN) are tested, evaluated, and compared with conventional metadata search in repositories. Results show that image retrieval approaches outperform the metadata search and are a valuable strategy for finding images of interest. The second part of the pipeline uses techniques of photogrammetry to derive the camera position and orientation of the historical images identified by the image retrieval. Multiple feature matching methods are used on four different datasets, the scene is reconstructed in the Structure-from-Motion software COLMAP, and all experiments are evaluated on a newly generated historical benchmark dataset. A large number of oriented images, as well as low error measures for most of the datasets, show that the workflow can be successfully applied. Finally, the combination of a CNN-based image retrieval and the feature matching methods SuperGlue and DISK show very promising results to realize a fully automated workflow. Such an automated workflow of selection and pose estimation of historical terrestrial images enables the creation of large-scale 4D models. Numéro de notice : A2021-827 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10110748 Date de publication en ligne : 04/11/2021 En ligne : https://doi.org/10.3390/ijgi10110748 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98964 [article]

A web GIS-based integration of 3D digital models with linked open data for cultural heritage exploration / Ikrom Nishanbaev in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)  

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Evaluating the potential of cybercartography in facilitating indigenous self-determination: A case study with the Hupačasath first nation / Dexter Robson in Cartographica, vol 56 n° 3 (Fall 2021)  

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Connecting images through sources: Exploring low-data, heterogeneous instance retrieval / Dimitri Gominski in Remote sensing, vol 13 n° 16 (August-2 2021)  

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GIScience integrated with computer vision for the examination of old engravings and drawings / Motti Zohar in International journal of geographical information science IJGIS, vol 35 n° 9 (September 2021)  

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Digital camera calibration for cultural heritage documentation: the case study of a mass digitization project of religious monuments in Cyprus / Evagoras Evagorou in European journal of remote sensing, vol 54 sup 1 (2021)  

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Ontology-based semantic conceptualisation of historical built heritage to generate parametric structured models from point clouds / Elisabetta Colucci in Applied sciences, vol 11 n° 6 (March 2021)  

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Apport de la photogrammétrie dans la documentation et le suivi d’une tranchée archéologique / Iris Lucas (2021) 

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Correction radiométrique et recalage de nuages de points pour la reconstruction tridimensionnelle d'oeuvres du patrimoine culturel / Nathan Sanchiz (2021)  

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How to spatialize geographical iconographic heritage / Emile Blettery (2021)    

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Modélisation et reconstitution 3D de vestiges du Struthof en relation avec le PCR à partir d’éléments historiques / Yassine Seddik (2021)  

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