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Auteur María-Eugenia Polo |
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Analysis of free image-based modelling systems applied to support topographic measurements / José Miguel Caldera-Cordero in Survey review, vol 51 n° 367 (July 2019)
[article]
Titre : Analysis of free image-based modelling systems applied to support topographic measurements Type de document : Article/Communication Auteurs : José Miguel Caldera-Cordero, Auteur ; María-Eugenia Polo, Auteur Année de publication : 2019 Article en page(s) : pp 300 - 309 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Topographie
[Termes IGN] analyse comparative
[Termes IGN] lever topographique
[Termes IGN] logiciel de modélisation
[Termes IGN] logiciel libre
[Termes IGN] modélisation 3D
[Termes IGN] reconstruction 3D
[Termes IGN] service web
[Termes IGN] structure-from-motionMots-clés libres : ReMake CMP Web Service Arc 3D Visual SfM Résumé : (Auteur) The image-based modelling systems create 3D models of objects using a set of overlapping photographs. Several applications are available that do not require a user expert or expensive equipment. In this paper, four free systems were applied in two cases: ReMake, which is a freemium software, CMP Web Service and Arc 3D, which are free web services, and Visual SfM, which is a free software. The purpose of this study is to evaluate the applications that support topographical measurements and to assess the potential for their use in accurate modelling. The results show that these systems can be an auxiliary technique for surveyors and can provide an advantage in some cases. Numéro de notice : A2019-360 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1451271 Date de publication en ligne : 23/03/2018 En ligne : https://doi.org/10.1080/00396265.2018.1451271 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93437
in Survey review > vol 51 n° 367 (July 2019) . - pp 300 - 309[article]Detection and labeling of sensitive areas in hydrological cartography using vector statistics / Elia Quirós in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
[article]
Titre : Detection and labeling of sensitive areas in hydrological cartography using vector statistics Type de document : Article/Communication Auteurs : Elia Quirós, Auteur ; María-Eugenia Polo, Auteur ; Ángel M. Felicísimo, Auteur Année de publication : 2016 Article en page(s) : pp 189 - 196 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] carte hydrographique
[Termes IGN] détection automatique
[Termes IGN] données vectorielles
[Termes IGN] modèle numérique de terrain
[Termes IGN] réseau hydrographique
[Termes IGN] statistique descriptive
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The recognition and delineation of hydrological stream lines has, traditionally, been a subjective manual task in cartography. However, digital elevation models (DEMs) are nowadays often employed to extract stream lines automatically, via the use of geographic information systems. Whereas the automatic generation of hydrological networks presents errors, their manual recognition can be almost arbitrary. In this paper, we propose a methodology with which to label potentially sensitive zones in the comparison of hydrological cartographic networks. Two different sources were analyzed: a conventional cartographic stream network, and one automatically extracted from a DEM. The 72 500 vectors of displacement, representing the spatial disagreement (or fit) between the stream networks, were also examined. A number of remarkable distributions of large errors were identified that were a cause for alarm; these errors are here denoted by “warnings” and are classified into six different groups. The displacement vectors were also analyzed in terms of modulus and azimuth, thereby allowing the analysis of the isotropy of the spatial displacements. We propose the use of all of the derived information as metadata for hydrological spatial quality, as well as the extension of the methodology to any other type of cartographic element (roads, cadastral, etc.) for which two different vector format information sources are compared. Numéro de notice : A2016-074 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2453112 En ligne : http://dx.doi.org/10.1109/TGRS.2015.2453112 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79842
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 1 (January 2016) . - pp 189 - 196[article]Exemplaires(1)
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