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Graph-based matching of points-of-interest from collaborative geo-datasets / Tessio Novack in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)
[article]
Titre : Graph-based matching of points-of-interest from collaborative geo-datasets Type de document : Article/Communication Auteurs : Tessio Novack, Auteur ; Robin Peters, Auteur ; Alexander Zipf, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de points
[Termes IGN] conflation
[Termes IGN] Foursquare
[Termes IGN] Londres
[Termes IGN] OpenStreetMap
[Termes IGN] point d'intérêt
[Termes IGN] similitudeRésumé : (Auteur) Several geospatial studies and applications require comprehensive semantic information from points-of-interest (POIs). However, this information is frequently dispersed across different collaborative mapping platforms. Surprisingly, there is still a research gap on the conflation of POIs from this type of geo-dataset. In this paper, we focus on the matching aspect of POI data conflation by proposing two matching strategies based on a graph whose nodes represent POIs and edges represent matching possibilities. We demonstrate how the graph is used for (1) dynamically defining the weights of the different POI similarity measures we consider; (2) tackling the issue that POIs should be left unmatched when they do not have a corresponding POI on the other dataset and (3) detecting multiple POIs from the same place in the same dataset and jointly matching these to the corresponding POI(s) from the other dataset. The strategies we propose do not require the collection of training samples or extensive parameter tuning. They were statistically compared with a “naive”, though commonly applied, matching approach considering POIs collected from OpenStreetMap and Foursquare from the city of London (England). In our experiments, we sequentially included each of our methodological suggestions in the matching procedure and each of them led to an increase in the accuracy in comparison to the previous results. Our best matching result achieved an overall accuracy of 91%, which is more than 10% higher than the accuracy achieved by the baseline method. Numéro de notice : A2018-103 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7030117 En ligne : https://doi.org/10.3390/ijgi7030117 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89518
in ISPRS International journal of geo-information > vol 7 n° 3 (March 2018)[article]Similarity measurement of metadata of geospatial data : an artificial neural network approach / Zugang Chen in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)
[article]
Titre : Similarity measurement of metadata of geospatial data : an artificial neural network approach Type de document : Article/Communication Auteurs : Zugang Chen, Auteur ; Jia Song, Auteur ; Yaping Yang, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] données localisées
[Termes IGN] métadonnées
[Termes IGN] métadonnées géographiques
[Termes IGN] réseau neuronal artificiel
[Termes IGN] similitudeRésumé : (Auteur) To help users discover the most relevant spatial datasets in the ever-growing global spatial data infrastructures (SDIs), a number of similarity measures of geospatial data based on metadata have been proposed. Researchers have assessed the similarity of geospatial data according to one or more characteristics of the geospatial data. They created different similarity algorithms for each of the selected characteristics and then combined these elementary similarities to the overall similarity of the geospatial data. The existing combination methods are mainly linear and may not be the most accurate. This paper reports our experiences in attempting to learn the optimal non-linear similarity integration functions, from the knowledge of experts, using an artificial neural network. First, a multiple-layer feed forward neural network (MLFFN) was created. Then, the intrinsic characteristics were used to represent the metadata of geospatial data and the similarity algorithms for each of the intrinsic characteristics were built. The training and evaluation data of MLFFN were derived from the knowledge of domain experts. Finally, the MLFFN was trained, evaluated, and compared with traditional linear combination methods, which was mainly a weighted sum. The results show that our method outperformed the existing methods in terms of precision. Moreover, we found that the combination of elementary similarities of experts to the overall similarity of geospatial data was not linear. Numéro de notice : A2018-094 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7030090 En ligne : https://doi.org/10.3390/ijgi7030090 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89506
in ISPRS International journal of geo-information > vol 7 n° 3 (March 2018)[article]Transformation between surface spherical harmonic expansion of arbitrary high degree and order and double Fourier series on sphere / Toshio Fukushima in Journal of geodesy, vol 92 n° 2 (February 2018)
[article]
Titre : Transformation between surface spherical harmonic expansion of arbitrary high degree and order and double Fourier series on sphere Type de document : Article/Communication Auteurs : Toshio Fukushima, Auteur Année de publication : 2018 Article en page(s) : pp 123 - 130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie
[Termes IGN] harmonique sphérique
[Termes IGN] série de Fourier
[Termes IGN] transformation géométrique
[Termes IGN] transformation inverseRésumé : (Auteur) In order to accelerate the spherical harmonic synthesis and/or analysis of arbitrary function on the unit sphere, we developed a pair of procedures to transform between a truncated spherical harmonic expansion and the corresponding two-dimensional Fourier series. First, we obtained an analytic expression of the sine/cosine series coefficient of the 4π fully normalized associated Legendre function in terms of the rectangle values of the Wigner d function. Then, we elaborated the existing method to transform the coefficients of the surface spherical harmonic expansion to those of the double Fourier series so as to be capable with arbitrary high degree and order. Next, we created a new method to transform inversely a given double Fourier series to the corresponding surface spherical harmonic expansion. The key of the new method is a couple of new recurrence formulas to compute the inverse transformation coefficients: a decreasing-order, fixed-degree, and fixed-wavenumber three-term formula for general terms, and an increasing-degree-and-order and fixed-wavenumber two-term formula for diagonal terms. Meanwhile, the two seed values are analytically prepared. Both of the forward and inverse transformation procedures are confirmed to be sufficiently accurate and applicable to an extremely high degree/order/wavenumber as 230≈109. The developed procedures will be useful not only in the synthesis and analysis of the spherical harmonic expansion of arbitrary high degree and order, but also in the evaluation of the derivatives and integrals of the spherical harmonic expansion. Numéro de notice : A2018-057 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-017-1049-3 Date de publication en ligne : 13/07/2017 En ligne : https://doi.org/10.1007/s00190-017-1049-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89390
in Journal of geodesy > vol 92 n° 2 (February 2018) . - pp 123 - 130[article]S’approprier un nouveau territoire par l’usage de l’information géographique en DREAL : Changement d’échelle et changement de pratiques / Cécile Cot in Revue internationale de géomatique, vol 28 n° 1 (janvier - mars 2018)
[article]
Titre : S’approprier un nouveau territoire par l’usage de l’information géographique en DREAL : Changement d’échelle et changement de pratiques Type de document : Article/Communication Auteurs : Cécile Cot, Auteur ; Sylvie Lardon, Auteur ; Christine Lefebvre, Auteur ; Jean-Emmanuel Menard, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 125 - 150 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse spatiale
[Termes IGN] chorème
[Termes IGN] diagnostic
[Termes IGN] données localisées
[Termes IGN] Grand Est (région 2016)
[Termes IGN] mise à l'échelle
[Termes IGN] production participative
[Termes IGN] région
[Termes IGN] territoire
[Termes IGN] utilisateurRésumé : (Auteur) Alors que le périmètre de certaines régions françaises s’est étendu, les services déconcentrés de l’État doivent se saisir de cette nouvelle échelle pour penser le portage des politiques publiques sur le territoire tout en réinventant leur organisation et leurs pratiques. Comment alors s’approprier individuellement et collectivement un nouveau territoire en prenant en compte la diversité de la connaissance des institutions et des agents ? La direction régionale de l’Environnement, de l’Aménagement et du Logement de la région Grand-Est, en collaboration avec AgroParisTech, a adapté une méthode d’analyse territoriale afin de répondre à ce double défi du changement d’échelle et de la transformation des pratiques. Cette démarche, la méthode de diagnostic partagé territorial, vise à mobiliser les usages de l’information géographique au cours d’un processus participatif de construction-déconstruction des connaissances territoriales qu’engagent les agents à chaque étape. Par cette expérience, l’article met en évidence que l’approche spatiale sert d’intermédiaire dans l’acquisition de cette connaissance multi-échelle par les agents en situation de changement et repère les points de passage obligés pour en faire une démarche plus générique. Numéro de notice : A2018-167 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3166/rig.2017.00041 Date de publication en ligne : 16/05/2018 En ligne : https://doi.org/10.3166/rig.2017.00041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89800
in Revue internationale de géomatique > vol 28 n° 1 (janvier - mars 2018) . - pp 125 - 150[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-2018011 SL Revue Centre de documentation Revues en salle Disponible 4FP-structure: a robust local region feature descriptor / Jiayuan Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 12 (December 2017)
[article]
Titre : 4FP-structure: a robust local region feature descriptor Type de document : Article/Communication Auteurs : Jiayuan Li, Auteur ; Qingwu Hu, Auteur ; Mingyao Ai, Auteur Année de publication : 2017 Article en page(s) : pp 813 - 826 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] corrélation automatique de points homologues
[Termes IGN] méthode robuste
[Termes IGN] points homologues
[Termes IGN] transformation affineRésumé : (Auteur) Establishing reliable correspondence for images of the same scene is still challenging work due to repetitive texture and unknown distortion. In this paper, we propose a region-matching method to simultaneously filter false matches and maximize good correspondence between images, even those with irregular distortion. First, a novel region descriptor, represented by a structure formed by four feature points (4FP-Structure), is presented to simplify matching with severe deformation. Furthermore, an expansion stage based on the special 4FP-Structure is adapted to detect and select as many high location accuracy correspondences as possible under a local affine-transformation constraint. Extensive experiments on both rigid and non-rigid image datasets demonstrate that the proposed algorithm has a very high degree of correctness and significantly outperforms other state-of-the-art methods. Numéro de notice : A2017-803 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.83.12.813 En ligne : https://doi.org/10.14358/PERS.83.12.813 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89164
in Photogrammetric Engineering & Remote Sensing, PERS > vol 83 n° 12 (December 2017) . - pp 813 - 826[article]Nonlinear bias compensation of ZiYuan-3 satellite imagery with cubic splines / Jinshan Cao in ISPRS Journal of photogrammetry and remote sensing, vol 133 (November 2017)PermalinkGeometric quality assessment of trajectory-generated VGI road networks based on the symmetric arc similarity / Yan Lyu in Transactions in GIS, vol 21 n° 5 (October 2017)PermalinkDecomposition of LiDAR waveforms by B-spline-based modeling / Xiang Shen in ISPRS Journal of photogrammetry and remote sensing, vol 128 (June 2017)PermalinkA simplified linear feature matching method using decision tree analysis, weighted linear directional mean, and topological relationships / Ick-Hoi Kim in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)PermalinkA comparison of two downscaling procedures to increase the spatial resolution of mapping actual evapotranspiration / Milad Mahour in ISPRS Journal of photogrammetry and remote sensing, vol 126 (April 2017)PermalinkGeometric accuracy evaluation of YG-18 satellite imagery based on RFM / Ruishan Zhao in Photogrammetric record, vol 32 n° 157 (March - May 2017)PermalinkContinuously generalizing buildings to built-up areas by aggregating and growing / Dongliang Peng (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)PermalinkNon-rigid registration of 3D point clouds under isometric deformation / Xuming Ge in ISPRS Journal of photogrammetry and remote sensing, vol 121 (November 2016)PermalinkAutomatic registration of MLS point clouds and SfM meshes of urban area / Reiji Yoshimura in Geo-spatial Information Science, vol 19 n° 3 (October 2016)PermalinkAn adaptable equal-area pseudoconic map projection / Daniel "daan" Strebe in Cartography and Geographic Information Science, Vol 43 n° 4 (September 2016)PermalinkRobust approximation of the Medial Axis Transform of LiDAR point clouds as a tool for visualisation / Ravi Peters in Computers & geosciences, vol 90 part A (May 2016)PermalinkPermalinkA comparative study of existing multi-scale maps: what content at which scale? / Marion Dumont (2016)PermalinkContributions à la segmentation non supervisée d'images hyperspectrales : trois approches algébriques et géométriques / Saadallah El Asmar (2016)PermalinkPhotogrammetric computer vision / Wolfgang Förstner (2016)PermalinkPermalinkExtendable linearised adjustment model for deformation analysis / Hiddo Velsink in Survey review, vol 47 n° 345 (November 2015)PermalinkPolygonal clustering analysis using multilevel graph-partition / Wanyi Wang in Transactions in GIS, vol 19 n° 5 (October 2015)Permalink