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Weakly supervised semantic segmentation of airborne laser scanning point clouds / Yaping Lin in ISPRS Journal of photogrammetry and remote sensing, vol 187 (May 2022)
Titre : Weakly supervised semantic segmentation of airborne laser scanning point clouds Type de document : Article/Communication Auteurs : Yaping Lin, Auteur ; M. George Vosselman, Auteur ; Michael Ying Yang, Auteur Année de publication : 2022 Article en page(s) : pp 79 - 100 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] apprentissage profond
[Termes IGN] chevauchement
[Termes IGN] classification dirigée
[Termes IGN] données étiquetées d'entrainement
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] hétérogénéité sémantique
[Termes IGN] segmentation sémantique
[Termes IGN] semis de pointsRésumé : (Auteur) While modern deep learning algorithms for semantic segmentation of airborne laser scanning (ALS) point clouds have achieved considerable success, the training process often requires a large number of labelled 3D points. Pointwise annotation of 3D point clouds, especially for large scale ALS datasets, is extremely time-consuming work. Weak supervision that only needs a few annotation efforts but can make networks achieve comparable performance is an alternative solution. Assigning a weak label to a subcloud, a group of points, is an efficient annotation strategy. With the supervision of subcloud labels, we first train a classification network that produces pseudo labels for the training data. Then the pseudo labels are taken as the input of a segmentation network which gives the final predictions on the testing data. As the quality of pseudo labels determines the performance of the segmentation network on testing data, we propose an overlap region loss and an elevation attention unit for the classification network to obtain more accurate pseudo labels. The overlap region loss that considers the nearby subcloud semantic information is introduced to enhance the awareness of the semantic heterogeneity within a subcloud. The elevation attention helps the classification network to encode more representative features for ALS point clouds. For the segmentation network, in order to effectively learn representative features from inaccurate pseudo labels, we adopt a supervised contrastive loss that uncovers the underlying correlations of class-specific features. Extensive experiments on three ALS datasets demonstrate the superior performance of our model to the baseline method (Wei et al., 2020). With the same amount of labelling efforts, for the ISPRS benchmark dataset, the Rotterdam dataset and the DFC2019 dataset, our method rises the overall accuracy by 0.062, 0.112 and 0.031, and the average F1 score by 0.09, 0.178 and 0.043 respectively. Our code is publicly available at ‘https://github.com/yaping222/Weak_ALS.git’. Numéro de notice : A2022-227 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2022.03.001 Date de publication en ligne : 11/03/2022 En ligne : https://doi.org/10.1016/j.isprsjprs.2022.03.001 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100197
in ISPRS Journal of photogrammetry and remote sensing > vol 187 (May 2022) . - pp 79 - 100[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2022051 SL Revue Centre de documentation Revues en salle Disponible 081-2022053 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2022052 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Conciliating perspectives from mapping agencies and web of data on successful European SDIs: toward a European geographic knowledge graph Type de document : Article/Communication Auteurs : Bénédicte Bucher Année de publication : 2020 Projets : URCLIM / Masson, Valéry Article en page(s) : 23 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] cartographe
[Termes IGN] découverte de connaissances
[Termes IGN] données ouvertes
[Termes IGN] graphique
[Termes IGN] harmonisation des données
[Termes IGN] hétérogénéité sémantique
[Termes IGN] infrastructure européenne de données localisées
[Termes IGN] INSPIRE
[Termes IGN] ontologie
[Termes IGN] organisme cartographique national
[Termes IGN] réseau sémantique
[Termes IGN] web des données
[Termes IGN] web sémantiqueRésumé : (auteur) Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. It studies contributions and competences from two communities in this field: cartographers, authoritative data providers, and geographic information scientists on the one hand, and computer scientists working on the Web of Data on the other. During several workshops organized by the EuroSDR and Eurogeographics organizations, the authors analyzed their complementarity and discovered reasons for the difficult collaboration between these communities. They have different and sometimes conflicting perspectives on what successful SDIs should look like, as well as on priorities. We developed a proposal to integrate both perspectives, which is centered on the elaboration of an open European Geographical Knowledge Graph. Its structure reuses results from the literature on geographical information ontologies. It is associated with a multifaceted roadmap addressing interrelated aspects of SDIs. Numéro de notice : A2020-054 Affiliation des auteurs : LASTIG+Ext (2016-2019) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9020062 Date de publication en ligne : 21/01/2020 En ligne : https://doi.org/10.3390/ijgi9020062 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94537
in ISPRS International journal of geo-information > vol 9 n° 2 (February 2020) . - 23 p.[article]
Titre : A method for checking the quality of geographic metadata based on ISO 19157 Type de document : Article/Communication Auteurs : Manuel A. Ureña-Cámara, Auteur ; Javier Nogueras-Iso, Auteur ; Javier Lacasta, Auteur ; Francisco Javier Ariza-López, Auteur Année de publication : 2019 Article en page(s) : pp 1 - 27 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] contrôle qualité automatique
[Termes IGN] hétérogénéité sémantique
[Termes IGN] interopérabilité
[Termes IGN] Java (langage de programmation)
[Termes IGN] métadonnées géographiques
[Termes IGN] norme ISO
[Termes IGN] qualité des metadonnées
[Termes IGN] XMLRésumé : (auteur) With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata. Numéro de notice : A2019-018 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1515437 Date de publication en ligne : 17/09/2018 En ligne : https://doi.org/10.1080/13658816.2018.1515437 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91675
in International journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 1 - 27[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2019011 RAB Revue Centre de documentation En réserve L003 Disponible Preserving Semantics, Tractability and Evolution on a multi-scale Geographic Information Infrastructure : Cases for extending INSPIRE Data Specifications / Bénédicte Bucher (2019)
Titre : Preserving Semantics, Tractability and Evolution on a multi-scale Geographic Information Infrastructure : Cases for extending INSPIRE Data Specifications Titre original : Report of Eurogeographics-EuroSDR workshop on INSPIRE Data Extension Type de document : Rapport Auteurs : Bénédicte Bucher Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2019 Conférence : EuroSDR & EuroGeographics 2018, workshop INSPIRE Data Extension 27/11/2018 28/11/2018 Varsovie Pologne Importance : 17 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] hétérogénéité sémantique
[Termes IGN] infrastructure européenne de données localisées
[Termes IGN] INSPIRE
[Termes IGN] organisme cartographique national
[Termes IGN] web des données
[Termes IGN] web sémantiqueRésumé : (auteur) [introduction] Grounding on data the planning and monitoring of European environmental activities is an important issue for the construction of Europe. Reusing geo-data already produced by members to monitor activities at the level of the country or region in order to perform monitoring and planning at the global level of Europe is a different but related issue. It is a strategy to achieve more consistency and trust between the different levels where environmental activities and policies are monitored. This strategy has led the European Commission to issue the INSPIRE directive–Infrastructure for Spatial Information in Europe- ; national public authorities should make their data reusable for Europe [European Parliament 2007][Video 1]. Reusing at the level of Europe national data is not straight forward. Even though we share a common European physical territory, especially in the domain of environment where many phenomena do not stop at borders, each country has its own specific way to design data about ground water, transport networks, population, landuse and air temperature. The European digital territory also has its boundaries. The ‘INSPIRE extensions’ workshop was organized to foster exchanges between organizations in charge of implementing INSPIRE, with a focus on the topic of extending INSPIRE Data Specifications, to share their experiences, improve each one’s knowledge and also the scalability of local initiatives. It was co-organised by EuroGeographics Knowledge Exchange Network on INSPIRE (aka KEN INSPIRE), EuroSDR Commission 4 (focused on information usage) and Geonovum, a public organization who is coordinating the Dutch National Spatial Data Infrastructure (NSDI) supported by the Dutch Cadaster and the Geological Survey of the Netherlands. Complementary to the minutes dedicated to the KEN INSPIRE community, this report wishes to be more pedagogic to reach out an audience –scientists or developers- who may not be familiar enough with INSPIRE issues and problems but could find INSPIRE as a possible application domain for its scientific or technological field and, in the future, be willing to contribute to the progress of INSPIRE. The two first sections summarise the motivation of INSPIRE and the reasons for designing INSPIRE Data Extensions. The section after presents approaches adopted by practitioners: inheritance on the one hand and adaptation on the other. The subsequent sections tackle issues related to INSPIRE implementation in general and not limited to Data extension.
All presentations of the workshop together with the minutes are available on the workshop website: https://eurogeographics.org/calendar-event/workshop-on-inspire-extension-june-2017/Numéro de notice : 25848 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Rapport sur congrès nature-HAL : Rapport DOI : sans En ligne : http://www.eurosdr.net/publications Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95329
Titre : An evaluation of ontology matching in geo-service applications Type de document : Article/Communication Auteurs : L. Vaccari, Auteur ; Pavel Shvaiko, Auteur ; J. Pane, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 31 - 66 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] appariement sémantique
[Termes IGN] hétérogénéité sémantique
[Termes IGN] interopérabilité sémantique
[Termes IGN] ontologie
[Termes IGN] service web géographique
[Termes IGN] similitude sémantique
[Termes IGN] web sémantiqueRésumé : (Auteur) Matching between concepts describing the meaning of services representing heterogeneous information sources is a key operation in many application domains, including web service coordination, data integration, peer-to-peer information sharing, query answering, and so on. In this paper we present an evaluation of an ontology matching approach, specifically of structure-preserving semantic matching (SPSM) solution. In particular, we discuss the SPSM approach used to reduce the semantic heterogeneity problem among geo web services and we evaluate the SPSM solution on real world GIS ESRI ArcWeb services. The first experiment included matching of original web service method signatures to synthetically alterated ones. In the second experiment we compared a manual classification of our dataset to the automatic (unsupervised) classification produced by SPSM. The evaluation results demonstrate robustness and good performance of the SPSM approach on a large (ca. 700 000) number of matching tasks. Numéro de notice : A2012-081 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-011-0125-8 Date de publication en ligne : 30/03/2011 En ligne : https://doi.org/10.1007/s10707-011-0125-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31529
in Geoinformatica > vol 16 n° 1 (January 2012) . - pp 31 - 66[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2012011 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkPermalinkPermalinkPermalinkPermalinkvol 14 n° 2 - mars - avril 2009 - Dimensions communautaire et organisationnelle dans les SI (Bulletin de Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI) / Dominique Rieu
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