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Topological integration of BIM and geospatial water utility networks across the building envelope / Thomas Gilbert in Computers, Environment and Urban Systems, vol 86 (March 2021)  

Public [article]  inComputers, Environment and Urban Systems > vol 86 (March 2021) . - n° 101570 Titre : Topological integration of BIM and geospatial water utility networks across the building envelope Type de document : Article/Communication Auteurs : Thomas Gilbert, Auteur ; Philip James, Auteur ; Luke Smith, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 101570 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] analyse multicritère [Termes IGN] connexité (topologie) [Termes IGN] empreinte [Termes IGN] format Industry foudation classes IFC [Termes IGN] infrastructure urbaine de données localisées [Termes IGN] intégration de données [Termes IGN] méthode heuristique [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] réseau de distribution d'eau [Termes IGN] Royaume-Uni Résumé : (auteur) Utility networks comprise a fundamental part of our complex urban systems and the integration of digital representations of these networks across multiple spatial scales can be used to help address priority challenges. Deteriorating water utility infrastructure and low routing redundancy result in network fragility and thus supply outages when assets fail. Water distribution network configurations can be optimised for higher resilience but digital representations of the networks used for simulations and analyses are not integrated with the finer scale networks inside buildings. This integration is hindered by differences in conceptualisation and semantics employed by the relevant data standards. We suggest that the geospatial and geometric data contained in Building Information Modelling (BIM) and water distribution network (WDN) models can be used for their integration; and that this supports the use cases of optimising dynamic network partitioning, reducing the risk of underground utility strikes and planning for future network configurations with higher topological redundancy. In this study, we develop and demonstrate the application of a weight-based spatial algorithm for inferring water network connections between urban-scale WDNs and BIM models, showing that spatial data can be used in the absence of complete or consistent semantic representations. We suggest that the method has potential for transferability to infrastructure for other utility resources (such as waste water, electricity and gas) and make recommendations such as standardising the representation of connection points between disjoint utility network models and extending the normal practical spatial remit of BIM MEP modelling to encompass the space between buildings and WDNs. Numéro de notice : A2021-119 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2020.101570 Date de publication en ligne : 16/12/2020 En ligne : https://doi.org/10.1016/j.compenvurbsys.2020.101570 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96944 [article]

FuNet: A novel road extraction network with fusion of location data and remote sensing imagery / Kai Zhou in ISPRS International journal of geo-information, vol 10 n° 1 (January 2021)  

Public [article]  inISPRS International journal of geo-information > vol 10 n° 1 (January 2021) . - n° 10 Titre : FuNet: A novel road extraction network with fusion of location data and remote sensing imagery Type de document : Article/Communication Auteurs : Kai Zhou, Auteur ; Yan Xie, Auteur ; Zhan Gao, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 10 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] amélioration du contraste [Termes IGN] apprentissage profond [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] connexité (topologie) [Termes IGN] extraction du réseau routier [Termes IGN] fusion d'images [Termes IGN] itération [Termes IGN] Pékin (Chine) [Termes IGN] segmentation sémantique Résumé : (auteur) Road semantic segmentation is unique and difficult. Road extraction from remote sensing imagery often produce fragmented road segments leading to road network disconnection due to the occlusion of trees, buildings, shadows, cloud, etc. In this paper, we propose a novel fusion network (FuNet) with fusion of remote sensing imagery and location data, which plays an important role of location data in road connectivity reasoning. A universal iteration reinforcement (IteR) module is embedded into FuNet to enhance the ability of network learning. We designed the IteR formula to repeatedly integrate original information and prediction information and designed the reinforcement loss function to control the accuracy of road prediction output. Another contribution of this paper is the use of histogram equalization data pre-processing to enhance image contrast and improve the accuracy by nearly 1%. We take the excellent D-LinkNet as the backbone network, designing experiments based on the open dataset. The experiment result shows that our method improves over the compared advanced road extraction methods, which not only increases the accuracy of road extraction, but also improves the road topological connectivity. Numéro de notice : A2021-147 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10010039 Date de publication en ligne : 19/01/2021 En ligne : https://doi.org/10.3390/ijgi10010039 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97055 [article]

Voxel-based 3D point cloud semantic segmentation: unsupervised geometric and relationship featuring vs deep learning methods / Florent Poux in ISPRS International journal of geo-information, vol 8 n° 5 (May 2019)  

Public [article]  inISPRS International journal of geo-information > vol 8 n° 5 (May 2019) . - n° 213 Titre : Voxel-based 3D point cloud semantic segmentation: unsupervised geometric and relationship featuring vs deep learning methods Type de document : Article/Communication Auteurs : Florent Poux, Auteur ; Roland Billen, Auteur Année de publication : 2019 Article en page(s) : n° 213 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbre de décision [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] connexité (topologie) [Termes IGN] données localisées 3D [Termes IGN] extraction de traits caractéristiques [Termes IGN] segmentation sémantique [Termes IGN] semis de points [Termes IGN] voxel Résumé : (auteur) Automation in point cloud data processing is central in knowledge discovery within decision-making systems. The definition of relevant features is often key for segmentation and classification, with automated workflows presenting the main challenges. In this paper, we propose a voxel-based feature engineering that better characterize point clusters and provide strong support to supervised or unsupervised classification. We provide different feature generalization levels to permit interoperable frameworks. First, we recommend a shape-based feature set (SF1) that only leverages the raw X, Y, Z attributes of any point cloud. Afterwards, we derive relationship and topology between voxel entities to obtain a three-dimensional (3D) structural connectivity feature set (SF2). Finally, we provide a knowledge-based decision tree to permit infrastructure-related classification. We study SF1/SF2 synergy on a new semantic segmentation framework for the constitution of a higher semantic representation of point clouds in relevant clusters. Finally, we benchmark the approach against novel and best-performing deep-learning methods while using the full S3DIS dataset. We highlight good performances, easy-integration, and high F1-score (> 85%) for planar-dominant classes that are comparable to state-of-the-art deep learning. Numéro de notice : A2019-656 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/ijgi8050213 Date de publication en ligne : 07/05/2019 En ligne : https://doi.org/10.3390/ijgi8050213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97890 [article]

An algorithm for on-the-fly K shortest paths finding in multi-storey buildings using a hierarchical topology model / Rosen Ivanov in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 32 n° 11-12 (November - December 2018) . - pp 2362 - 2385 Titre : An algorithm for on-the-fly K shortest paths finding in multi-storey buildings using a hierarchical topology model Type de document : Article/Communication Auteurs : Rosen Ivanov, Auteur Année de publication : 2018 Article en page(s) : pp 2362 - 2385 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] bati [Termes IGN] calcul d'itinéraire [Termes IGN] cartographie à la volée [Termes IGN] chemin le plus court (algorithme) [Termes IGN] connexité (graphes) [Termes IGN] connexité (topologie) [Termes IGN] modèle topologique de données [Termes IGN] modélisation 3D du bâti BIM [Termes IGN] positionnement en intérieur Résumé : (Auteur) This article presents an approach to computing K shortest paths in large buildings with complex horizontal and vertical connectivity. The building topology is obtained from Building Information Model (BIM) and implemented using directed multigraphs. Hierarchical design allows the calculation of feasible paths without the need to load into memory the topology of the entire building. It is possible to expand the graph with new connectivity on-the-fly. The paths calculated may be composed of traversable building components that are located inside the buildings or those that are both inside and outside buildings. The performance (computational time and heap size used) is optimized by using the appropriate collections (maps, lists and sets). The proposed algorithm is evaluated in several use-case scenarios – complete graphs and real building environments. In all test scenarios, the proposed path finding algorithm is faster and uses less memory when compared to the fast version of the Yen’s KSP algorithm. The proposed approach can be successfully used as a first level of coarse-to-fine path finding algorithms. Numéro de notice : A2018-525 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1510126 Date de publication en ligne : 24/08/2018 En ligne : https://doi.org/10.1080/13658816.2018.1510126 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91352 [article]

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Sea-land interdependence in the global maritime network: the case of Australian port cities / Justin Berli in Networks and Spatial Economics, vol 18 n° 3 (September 2018)  

Public [article]  inNetworks and Spatial Economics > vol 18 n° 3 (September 2018) . - pp 447 - 471 Titre : Sea-land interdependence in the global maritime network: the case of Australian port cities Type de document : Article/Communication Auteurs : Justin Berli, Auteur ; Mattia Bunel , Auteur ; César Ducruet, Auteur Année de publication : 2018 Projets : World Seastems / Ducruet, César Article en page(s) : pp 447 - 471 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accessibilité [Termes IGN] Australie [Termes IGN] chemin le moins coûteux (algorithme) [Termes IGN] chemin le plus court (algorithme) [Termes IGN] connexité (topologie) [Termes IGN] port [Termes IGN] réseau de transport Résumé : (auteur) This article tackles the longstanding issue of intermodality head on. From a geomatics perspective, we model both maritime and road networks connecting port and non-port cities taking into account crucial features such as physical geography, shortest paths, and transport costs. This creates the opportunity to study a hybrid network – both planar and non-planar, and the centrality/accessibility of cities in this bi-layered network. Based on the case of Australia, main results convey new empirical findings on how port and urban hierarchies correlate with single-layered and bi-layered connectivity. We discuss main results in the light of network science, spatial science, and transport studies. Numéro de notice : A2018-499 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11067-018-9403-4 Date de publication en ligne : 01/06/2018 En ligne : https://doi.org/10.1007/s11067-018-9403-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96889 [article]

Habitat connectivity affects specialist species richness more than generalists in veteran trees / Anne Sverdrup-Thygeson in Forest ecology and management, vol 403 (1 November 2017)  

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Effectiveness of Natura 2000 network in Romanian Alpine Biogeographical Region: an assessment based on forest landscape connectivity / Mihaita Iulian Niculae in Annals of forest research, vol 60 n° 1 (January - June 2017)  

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Skeletal camera network embedded structure-from-motion for 3D scene reconstruction from UAV images / Zhihua Xua in ISPRS Journal of photogrammetry and remote sensing, vol 121 (November 2016)  

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Comment concevoir des continuités écologiques en milieu urbain ? / Eugénie Schwoertzig in Sciences, eaux & territoires, article hors série n° 26 (hors-série 2016) 

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Combined effects of area, connectivity, history and structural heterogeneity of woodlands on the species richness of hoverflies (Diptera: Syrphidae) / Pierre-Alexis Herrault in Landscape ecology, vol 31 n° 4 (May 2016)

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Modelling the spatial evolution of map objects by map agents / Shen Ying in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)  

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Landscape connectivity and insect herbivory: A framework for understanding tradeoffs among ecosystem services / Dorothy Y. Maguire in Global ecology and conservation, vol 4 (July 2015)  

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Geospatial analysis of urban landscape patterns in three major cities of Southeast Asia / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 10 (december 2014)    

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A shape-based segmentation method for mobile laser scanning point clouds / Yang Bisheng in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)

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Topological gradient connection analysis for feature detection / Chao-Yuan Lo in Photogrammetric record, vol 28 n° 141 (March - May 2013)  

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