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Validating the use of object-based image analysis to map commonly recognized landform features in the United States / Samantha T. Arundel in Cartography and Geographic Information Science, Vol 46 n° 5 (September 2019)  

Public [article]  inCartography and Geographic Information Science > Vol 46 n° 5 (September 2019) . - pp 441 - 455 Titre : Validating the use of object-based image analysis to map commonly recognized landform features in the United States Type de document : Article/Communication Auteurs : Samantha T. Arundel, Auteur ; Gaurav Sinha, Auteur Année de publication : 2019 Article en page(s) : pp 441 - 455 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] accident géographique [Termes descripteurs IGN] analyse d'image orientée objet [Termes descripteurs IGN] base de données localisées [Termes descripteurs IGN] chaîne de traitement [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] Etats-Unis [Termes descripteurs IGN] relation spatiale [Termes descripteurs IGN] relief [Termes descripteurs IGN] toponymie locale Résumé : (Auteur) The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is currently limited to 2D point locations. Geographic object-based image analysis (GEOBIA) was determined to be a promising method to approach both goals. An existing GEOBIA workflow was modified and the resulting segmented objects and terrain categories tested for a strategically chosen physiographic province in the mid-western US, the Ozark Plateaus. The chi-squared test of independence confirmed that there is significant overall spatial association between terrain categories of the GEOBIA and GNIS feature classes. Contingency table analysis also suggests strong category-specific associations between select GNIS and GEOBIA classes. However, 3D visual analysis revealed that GEOBIA objects resembled segmented regions more than they did individual landform objects, with their boundaries often failing to correspond to match what people would likely perceive as landforms. Still, objects derived through GEOBIA can provide initial baseline landscape divisions that can improve the efficiency of more specialized feature extraction methods. Numéro de notice : A2019-291 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2018.1526652 date de publication en ligne : 07/11/2018 En ligne : https://doi.org/10.1080/15230406.2018.1526652 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93173 [article]

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An approach for identifying and analysing reference features and spatial relations used in mountain emergency calls / Mattia Bunel (2019)    

Public Titre : An approach for identifying and analysing reference features and spatial relations used in mountain emergency calls Type de document : Article/Communication Auteurs : Mattia Bunel , Auteur ; Cécile Duchêne , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Marlène Villanova-Oliver, Auteur ; Grégoire Bonhoure, Auteur ; Tiphaine Jouan, Auteur Congrès : Congrès: ICC 2019, 29th International Cartographic Conference ICA Mapping everything for everyone (15 - 20 juillet 2019; Tokyo, Japon) , Commanditaire Editeur : International Cartographic Association ICA Année de publication : 2019 Autre Editeur : Göttingen : Copernicus publications Collection : Proceedings of the ICA Projets : CHOUCAS / Raimond, Ana-Maria Importance : 9 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] aide à la localisation [Termes descripteurs IGN] croquis topographique [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] montagne [Termes descripteurs IGN] raisonnement spatial [Termes descripteurs IGN] relation spatiale [Termes descripteurs IGN] secours d'urgence Résumé : (Auteur) The CHOUCAS project aims at helping mountain rescue services to locate a victim who describes her location by means of spatial relations with reference geographic features. In this context, the study presented in this paper aims at better understanding what reference features and spatial relations are used to locate oneself in a mountain area, with the ultimate aim of designing tools to help the rescuers. Audio tapes of real emergency calls were used as starting material. The core of the work is the design of a template to transcribe the location information contained in these calls while structuring it. A first analysis of the transcribed calls shows that projective or directional static spatial relations are the most used, and that a finer classification of reference features and spatial relations is needed. In order to synthetically present the location information contained in a call, an additional representation by means of a sketch map with a dedicated symbolisation is proposed. Numéro de notice : C2019-009 Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-proc-2-12-2019 date de publication en ligne : 10/07/2019 En ligne : https://doi.org/10.5194/ica-proc-2-12-2019 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93257

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The world, the computer, and the mind : how Andrew Frank helped make human language and cognition cornerstones of geographic information science / Daniel R. Montello 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 2535 - 2550 Titre : The world, the computer, and the mind : how Andrew Frank helped make human language and cognition cornerstones of geographic information science Type de document : Article/Communication Auteurs : Daniel R. Montello, Auteur ; David M. Mark, Auteur Année de publication : 2018 Article en page(s) : pp 2535 - 2550 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes descripteurs IGN] cognition [Termes descripteurs IGN] information géographique [Termes descripteurs IGN] ontologie [Termes descripteurs IGN] raisonnement spatial [Termes descripteurs IGN] relation spatiale [Termes descripteurs IGN] sciences cognitives Résumé : (Auteur) During the late 1980s and early 1990s, cognitive science was included as one of the key disciplines in the emerging multidisciplinary field of geographic information science (GIScience). One of the key proponents and popularizers of the study of human cognition as part of GIScience – and one of its major researchers – has been Andrew U. Frank. In this essay, we review the history of Andrew Frank’s role as an innovator and champion for cognitive GIScience, and summarize some of his research contributions in this domain. Taken along with his contributions to other areas of GIScience, this review shows that Andrew Frank has been one of the primary figures in modern GIScience, and among its very broadest and intellectually-diverse contributors. Numéro de notice : A2018-529 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1436714 date de publication en ligne : 07/02/2018 En ligne : https://doi.org/10.1080/13658816.2018.1436714 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91367 [article]

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Unsupervised detection of ruptures in spatial relationships in video sequences based on log‑likelihood ratio / Abdalbassir Abou-Elailah in Pattern Analysis and Applications, vol 21 n° 3 (August 2018)  

Public [article]  inPattern Analysis and Applications > vol 21 n° 3 (August 2018) Titre : Unsupervised detection of ruptures in spatial relationships in video sequences based on log‑likelihood ratio Type de document : Article/Communication Auteurs : Abdalbassir Abou-Elailah, Auteur ; Isabelle Bloch, Auteur ; Valérie Gouet-Brunet , Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] détection d'événement [Termes descripteurs IGN] distance (mathématique) [Termes descripteurs IGN] histogramme [Termes descripteurs IGN] modèle linéaire [Termes descripteurs IGN] primitive [Termes descripteurs IGN] relation spatiale [Termes descripteurs IGN] séquence d'images Résumé : (Auteur) In this work, we propose a new approach to automatically detect ruptures in spatial relationships in video sequences, based on low-level primitives, in unsupervised manner. The spatial relationships between two objects of interest are modeled using angle and distance histograms as examples. The evolution of the spatial relationships during time is estimated from the distances between two successive angle or distance histograms and then considered as a temporal signal. The evolution of a spatial relationship is modeled by a linear Gaussian model. Then, two hypotheses “without change” and “with change” are considered, and a log-likelihood ratio is computed. The distribution of the log-likelihood ratio, given that H0 is true, is estimated and used to compute the p value. The comparison of this p value to a significance level 훼, expressing the probability of false alarms, allows us to detect significant ruptures in spatial relationships during time. In addition, this approach is generalized to detect multiple object events such as merging, splitting, and other events that contain ruptures in their spatial relationships evolution. This work shows that the description of spatial relationships across time is a promising step toward event detection. Numéro de notice : A2017-776 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10044-017-0669-9 date de publication en ligne : 18/11/2017 En ligne : https://doi.org/10.1007/s10044-017-0669-9 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88974 [article]

Label propagation with ensemble of pairwise geometric relations : towards robust large-scale retrieval of object instances / Xiaomeng Wu in International journal of computer vision, vol 126 n° 7 (July 2018)  

Public [article]  inInternational journal of computer vision > vol 126 n° 7 (July 2018) . - pp 689 - 713 Titre : Label propagation with ensemble of pairwise geometric relations : towards robust large-scale retrieval of object instances Type de document : Article/Communication Auteurs : Xiaomeng Wu, Auteur ; Kaoru Hiramatsu, Auteur ; Kunio Kashino, Auteur Année de publication : 2018 Article en page(s) : pp 689 - 713 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] étiquette [Termes descripteurs IGN] instance [Termes descripteurs IGN] méthode robuste [Termes descripteurs IGN] recherche d'image basée sur le contenu [Termes descripteurs IGN] relation spatiale Résumé : (Auteur) Spatial verification methods permit geometrically stable image matching, but still involve a difficult trade-off between robustness as regards incorrect rejection of true correspondences and discriminative power in terms of mismatches. To address this issue, we ask whether an ensemble of weak geometric constraints that correlates with visual similarity only slightly better than a bag-of-visual-words model performs better than a single strong constraint. We consider a family of spatial verification methods and decompose them into fundamental constraints imposed on pairs of feature correspondences. Encompassing such constraints leads us to propose a new method, which takes the best of existing techniques and functions as a unified Ensemble of pAirwise GEometric Relations (EAGER), in terms of both spatial contexts and between-image transformations. We also introduce a novel and robust reranking method, in which the object instances localized by EAGER in high-ranked database images are reissued as new queries. EAGER is extended to develop a smoothness constraint where the similarity between the optimized ranking scores of two instances should be maximally consistent with their geometrically constrained similarity. Reranking is newly formulated as two label propagation problems: one is to assess the confidence of new queries and the other to aggregate new independently executed retrievals. Extensive experiments conducted on four datasets show that EAGER and our reranking method outperform most of their state-of-the-art counterparts, especially when large-scale visual vocabularies are used. Numéro de notice : A2018-411 Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s11263-018-1063-9 date de publication en ligne : 31/01/2018 En ligne : https://doi.org/10.1007/s11263-018-1063-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90886 [article]

Maps telling stories ? / Franz-Benjamin Mocnik in Cartographic journal (the), vol 55 n° 1 (February 2018)  

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Référencement spatial indirect : modélisation à base de relations et d'objets spatiaux vagues / Mattia Bunel (2018) 

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Weighted simplicial complex reconstruction from mobile laser scanning using sensor topology / Stéphane Guinard (2018)    

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The bounds of distortion : truth, meaning and efficacy in digital geographic representation / Lucas Godfrey in International journal of cartography, vol 3 n° 1 (June 2017)  

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Geographically weighted regression with parameter-specific distance metrics / Binbin Lu in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)  

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Classifying natural-language spatial relation terms with random forest algorithm / Shihong Du in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)  

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Progressive block graying and landmarks enhancing as intermediate representations between buildings and urban areas / Guillaume Touya (2017) 

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Similarity matching for integrating spatial information extracted from place descriptions / Junchul Kim in International journal of geographical information science IJGIS, vol 31 n° 1-2 (January - February 2017)  

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Building displacement based on the topological structure / Yageng Sun in Cartographic journal (the), Vol 53 n° 3 (August 2016)  

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Qualitative spatial logics for buffered geometries / Heshan Du in Journal of Artificial Intelligence Research, vol 56 (May - August 2016)  

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