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Facet segmentation-based line segment extraction for large-scale point clouds / Yangbin Lin in IEEE Transactions on geoscience and remote sensing, vol 55 n° 9 (September 2017)
[article]
Titre : Facet segmentation-based line segment extraction for large-scale point clouds Type de document : Article/Communication Auteurs : Yangbin Lin, Auteur ; Cheng Wang, Auteur ; Bili Chen, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 4839 - 4854 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] exploration de données
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] segmentation d'image
[Termes IGN] semis de pointsRésumé : (Auteur) As one of the most common features in the man-made environments, straight lines play an important role in many applications. In this paper, we present a new framework to extract line segments from large-scale point clouds. The proposed method is fast to produce results, easy for implementation and understanding, and suitable for various point cloud data. The key idea is to segment the input point cloud into a collection of facets efficiently. These facets provide sufficient information for determining linear features in the local planar region and make line segment extraction become relatively convenient. Moreover, we introduce the concept “number of false alarms” into 3-D point cloud context to filter the false positive line segment detections. We test our approach on various types of point clouds acquired from different ways. We also compared the proposed method with several other methods and provide both quantitative and visual comparison results. The experimental results show that our algorithm is efficient and effective, and produce more accurate and complete line segments than the comparative methods. To further verify the accuracy of the line segments extracted by the proposed method, we also present a line-based registration framework, which employs these line segments on point clouds registration. Numéro de notice : A2017-656 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2639025 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2639025 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87066
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 9 (September 2017) . - pp 4839 - 4854[article]Aggregation-based information retrieval system for geospatial data catalogs / Javier Lacasta in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)
[article]
Titre : Aggregation-based information retrieval system for geospatial data catalogs Type de document : Article/Communication Auteurs : Javier Lacasta, Auteur ; Javier Lopez-Pellicer, Auteur ; Borja Espejo-García, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1583 - 1605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] accès aux données
[Termes IGN] catalogue de données localisées
[Termes IGN] Espagne
[Termes IGN] exploration de données géographiques
[Termes IGN] infrastructure régionale de données localisées
[Termes IGN] métadonnées
[Termes IGN] métadonnées géographiques
[Termes IGN] recherche d'information géographique
[Termes IGN] requête (informatique)
[Termes IGN] service web géographiqueRésumé : (Auteur) Geospatial data catalogs enable users to discover and access geographical information. Prevailing solutions are document oriented and fragment the spatial continuum of the geospatial data into independent and disconnected resources described through metadata. Due to this, the complete answer for a query may be scattered across multiple resources, making its discovery and access more difficult. This paper proposes an improved information retrieval process for geospatial data catalogs that aggregates the search results by identifying the implicit spatial/thematic relations between the metadata records of the resources. These aggregations are constructed in such a way that they match better the user query than each resource individually. Numéro de notice : A2017-313 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1319949 En ligne : http://dx.doi.org/10.1080/13658816.2017.1319949 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85367
in International journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1583 - 1605[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2017041 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017042 RAB Revue Centre de documentation En réserve L003 Disponible Map the gap: alternative visualisations of geographic knowledge production / Margath Walker in Geo: Geography and Environment, vol 4 n°2 (July 2017)
[article]
Titre : Map the gap: alternative visualisations of geographic knowledge production Type de document : Article/Communication Auteurs : Margath Walker, Auteur ; Emmanuel Frimpong Boamah, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bibliométrie
[Termes IGN] carte en anamorphose
[Termes IGN] découverte de connaissances
[Termes IGN] représentation cartographique 2D
[Termes IGN] système d'information géographique
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) The main purpose of this paper is to develop a new method for visualizing knowledge production which is attentive to the multiple elements embedded in research processes. In particular, we seek to problematise the representation of scholarship indicators by depicting theoretical contributions and field sites along a spectrum, rather than as discrete points, recursively and relationally constituted. The primary aim of our visualisations is to capture text and context, and codified and tacit knowledge. First, we offer a conventional representation of the location of selected dominant critical theories in Geography, arguing that current methods reinforce ‘lopsided’ geographies of knowledge production. Normative practices of data visualisation and representation captured in our two examples privilege certain elements centred on authorship and tend to silence the contexts informing research. Second, we borrow the term and method of chromatography, a tool used in the natural sciences but here conceived in its more literal sense of ‘writing the separations’. Our ‘chromatographical’ representations attempt to unbundle components currently absorbed by formal indicators of knowledge production. Such counter mappings attempt to convey the relational aspect of research between countries imbricated in the propagation of exemplary critical geographic theories. We conclude with a discussion of the implications that the disaggregation of value has for scholars and their research. Numéro de notice : A2017-410 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1002/geo2.38 En ligne : https://doi.org/10.1002/geo2.38 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86296
in Geo: Geography and Environment > vol 4 n°2 (July 2017)[article]PerSE : visual analytics for calendar related spatiotemporal periodicity detection and analysis / Brian Swedberg in Geoinformatica, vol 21 n° 3 (July - September 2017)
[article]
Titre : PerSE : visual analytics for calendar related spatiotemporal periodicity detection and analysis Type de document : Article/Communication Auteurs : Brian Swedberg, Auteur ; Donna J. Peuquet, Auteur Année de publication : 2017 Article en page(s) : pp 577 - 597 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle
[Termes IGN] application web
[Termes IGN] calendrier
[Termes IGN] démonstration de faisabilité
[Termes IGN] dimension temporelle
[Termes IGN] exploration de données géographiques
[Termes IGN] filtrage d'information
[Termes IGN] fréquence
[Termes IGN] interactivité
[Termes IGN] sciences humaines et sociales
[Termes IGN] utilisateur
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Periodicity is embedded in all societies. As most of us organize our lives based on temporal structures, it is hard to imagine what life would be like without it. We experience periodicity through naturally occurring rhythms that exist in nature, such as sunrise/sunset, seasonal changes in the weather, and the tides. We also experience it through abstract means via cultural, political, religious ties, such as the weekend, Independence Day, and Ramadan. Forms of periodicity, like the examples above, are foundational to making sense of human activity because they provide contextual rationale and frame normaility. However, disparate calendars (e.g. Islamic vs. Gregorian), localized idiosyncrasies, and other variables greatly complicate the analytical ability to uncover and understand human activity at a given time within a specified region. We have developed PerSE (Periodicity in Spatiotemporal Events): a web application designed to aid users in the detection and analysis of calendar related periodicity in spatiotemporal event data sets via exploratory user interaction. PerSE is composed of several crossfiltering views: the Map, Attribute View, Time-Wheel, Timeline, and Table. Users interactively set and release filters on one or more of the views to detect and analyze calendar related periodicity. This paper illustrates the utility of PerSE through an in-depth description of the tool and proof of concept usage example. Numéro de notice : A2017-382 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0280-z En ligne : https://doi.org/10.1007/s10707-016-0280-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85813
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 577 - 597[article]Robust point cloud classification based on multi-level semantic relationships for urban scenes / Qing Zhu in ISPRS Journal of photogrammetry and remote sensing, vol 129 (July 2017)
[article]
Titre : Robust point cloud classification based on multi-level semantic relationships for urban scenes Type de document : Article/Communication Auteurs : Qing Zhu, Auteur ; Yuan Li, Auteur ; Han Hu, Auteur ; Bo Wu, Auteur Année de publication : 2017 Article en page(s) : pp 86 - 102 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification
[Termes IGN] description multiniveau
[Termes IGN] exploration de données géographiques
[Termes IGN] relation sémantique
[Termes IGN] semis de points
[Termes IGN] voxel
[Termes IGN] zone urbaineRésumé : (Auteur) The semantic classification of point clouds is a fundamental part of three-dimensional urban reconstruction. For datasets with high spatial resolution but significantly more noises, a general trend is to exploit more contexture information to surmount the decrease of discrimination of features for classification. However, previous works on adoption of contexture information are either too restrictive or only in a small region and in this paper, we propose a point cloud classification method based on multi-level semantic relationships, including point–homogeneity, supervoxel–adjacency and class–knowledge constraints, which is more versatile and incrementally propagate the classification cues from individual points to the object level and formulate them as a graphical model. The point–homogeneity constraint clusters points with similar geometric and radiometric properties into regular-shaped supervoxels that correspond to the vertices in the graphical model. The supervoxel–adjacency constraint contributes to the pairwise interactions by providing explicit adjacent relationships between supervoxels. The class–knowledge constraint operates at the object level based on semantic rules, guaranteeing the classification correctness of supervoxel clusters at that level. International Society of Photogrammetry and Remote Sensing (ISPRS) benchmark tests have shown that the proposed method achieves state-of-the-art performance with an average per-area completeness and correctness of 93.88% and 95.78%, respectively. The evaluation of classification of photogrammetric point clouds and DSM generated from aerial imagery confirms the method’s reliability in several challenging urban scenes. Numéro de notice : A2017-347 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.04.022 En ligne : https://dx.doi.org/10.1016/j.isprsjprs.2017.04.022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85611
in ISPRS Journal of photogrammetry and remote sensing > vol 129 (July 2017) . - pp 86 - 102[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2017071 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017073 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017072 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data / Anthony C. Robinson in Cartography and Geographic Information Science, Vol 44 n° 3 (May 2017)PermalinkExploring spatiotemporal clusters based on extended kernel estimation methods / Jay Lee in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)PermalinkLinking spatial named entities to the web of data for geographical analysis of historical texts / Pierre-Henri Paris in Journal of Map & Geography Libraries, vol 13 n° 1 ([01/05/2017])PermalinkRule-guided human classification of Volunteered Geographic Information / Ahmed Loai Ali in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)PermalinkPredicting the encoding of secondary diagnoses. An experience based on decision trees / Ghazar Chahbandarian in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 22 n° 2 (mars - avril 2017)PermalinkTowards a knowledge base to support geoprocessing workflow development / Barbara Hofer in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)PermalinkLe travail de la science et le numérique : Données, publications, plateformes / Direction de l'information scientifique et technique - CNRS (20/02/2017)PermalinkPermalinkEvaluating data stability in aggregation structures across spatial scales: revisiting the modifiable areal unit problem / Jonathan K. Nelson in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)PermalinkPermalink