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Auteur Hai Hu |
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The “M” in digital elevation models / XiaoHang Liu in Cartography and Geographic Information Science, Vol 42 n° 3 (July 2015)
[article]
Titre : The “M” in digital elevation models Type de document : Article/Communication Auteurs : XiaoHang Liu, Auteur ; Hai Hu, Auteur ; Peng Hu, Auteur Année de publication : 2015 Article en page(s) : pp 235 - 243 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] données lidar
[Termes IGN] généralisation sémantique
[Termes IGN] isomorphisme
[Termes IGN] modèle numérique de surface
[Termes IGN] modélisation 3DRésumé : (auteur) The “M” in digital elevation models (DEM) stands for model, which literally means “a schematic description of a system, theory, or phenomenon that accounts for its known or inferred properties and may be used for further study of its characteristics.” A DEM fulfills the requirement of “a schematic description” of terrain. However, how to make it account for the “known or inferred properties” warrants further scrutiny. This article outlines three properties of terrain and examines their four implications to DEM generation. The three properties are as follows: (1) each terrain point has a single, fixed elevation; (2) terrain points have an order and sequence that is determined by their elevations; and (3) terrain has skeletons. The four implications to DEM generation methods are as follows: (1) a method must be a bijection; (2) a method must be an isomorphism in order to preserve elevation sequence; (3) a method must guarantee that the vertical error at any point, not just checkpoints, is acceptable in order to assure the vertical accuracy of a DEM; and (4) a method must involve generalization if terrain skeletons are to be preserved. These implications are discussed in the context of light detection and ranging-derived DEMs. Generalization is highlighted as the top priority for future research. Numéro de notice : A2015-241 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/15230406.2014.993711 En ligne : https://doi.org/10.1080/15230406.2014.993711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76239
in Cartography and Geographic Information Science > Vol 42 n° 3 (July 2015) . - pp 235 - 243[article]Exemplaires(1)
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