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Augmented reality and maps : new possibilities for engaging with geographic data / Gabriel Henrique de Almeida Pereira in Cartographic journal (the), Vol 54 n° 4 (November 2017)  

Public [article]  inCartographic journal (the) > Vol 54 n° 4 (November 2017) . - pp 313 - 321 Titre : Augmented reality and maps : new possibilities for engaging with geographic data Type de document : Article/Communication Auteurs : Gabriel Henrique de Almeida Pereira, Auteur ; Kristin Stock, Auteur ; Lucienne Stamato Delazari, Auteur ; Jorge Antonio Silva Centeno, Auteur Année de publication : 2017 Article en page(s) : pp 313 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données localisées [Termes IGN] lecture de carte [Termes IGN] Nouvelle-Zélande [Termes IGN] programme interactif [Termes IGN] réalité augmentée [Termes IGN] utilisateur civil [Vedettes matières IGN] Cartologie Résumé : (Auteur) Among the systems that aim to help users to perform map reading tasks, augmented reality (AR) is one of the most promising. However, the impact of this new technology in terms of acceptance, motivation and improvement of the learning process has still not been sufficiently explored. This study aims to assess the contribution of an AR system for map reading and for improving users’ understanding of geographic data. Landscape and census data from New Zealand were used to evaluate the performance of an AR system in an experiment involving 60 participants. Differences in the participants’ backgrounds were reflected in the way they completed the task for both printed maps and the AR system and 90% of the participants preferred to work with the AR system rather than with traditional printed maps. Users that had previous experience of the geographical dataset provided performed the task better using only the printed maps, while those without that experience performed better with the AR system. Numéro de notice : A2017-826 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2017.1411417 En ligne : https://doi.org/10.1080/00087041.2017.1411417 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89358 [article]

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Detection of areas for rainwater harvesting using airborne laser scanner and aerial imagery / Jorge Antonio Silva Centeno in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)  

Public [article]  inRevue Française de Photogrammétrie et de Télédétection > n° 198 - 199 (Septembre 2012) . - pp 25 - 29 Titre : Detection of areas for rainwater harvesting using airborne laser scanner and aerial imagery Type de document : Article/Communication Auteurs : Jorge Antonio Silva Centeno, Auteur ; R.T. Kishi, Auteur ; E. Aparecido Mitishita, Auteur Année de publication : 2012 Article en page(s) : pp 25 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse texturale [Termes IGN] eau pluviale [Termes IGN] image infrarouge [Termes IGN] lasergrammétrie [Termes IGN] morphologie mathématique [Termes IGN] semis de points [Termes IGN] toit Résumé : (Auteur) This paper describes a methodology for the identification of roofs for rain water harvesting, based on the use of laser scanner data and VIS/NIR imagery. Automatic discrimination of areas covered by vegetation and roofs is not an easy task when only information of pixels height is used; the procedure becomes more friendly when the local variation of the height, like the texture, is analyzed. First, the laserscanning image is thresholded according to the height. Mathematical morphology is also used to separate the largest surfaces, more suitable for rainwater harvesting. When the density of the point cloud is too low, the integrated analysis of laser scanning data and aerial photographs proves to allow a better discrimination of vegetation and roofs. The study shows the viability of the use of laser scanning data and aerial photographs for this purpose and proves that the analysis of texture is a powerful tool for discrimination purposes. Numéro de notice : A2012-420 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.52638/rfpt.2012.68 Date de publication en ligne : 21/04/2014 En ligne : https://doi.org/10.52638/rfpt.2012.68 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31866 [article]

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012-201203	RAB	Revue	Centre de documentation	En réserve L003	Disponible