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Digital bathymetric models from rational profiles / R.M. Marin in Surveying and land information science, vol 64 n° 4 (01/12/2004)

Public [article]  inSurveying and land information science > vol 64 n° 4 (01/12/2004) . - pp 235 - 242 Titre : Digital bathymetric models from rational profiles Type de document : Article/Communication Auteurs : R.M. Marin, Auteur ; T.E. Martin, Auteur Année de publication : 2004 Article en page(s) : pp 235 - 242 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Nivellement [Termes IGN] classification barycentrique [Termes IGN] distance euclidienne [Termes IGN] image acoustique [Termes IGN] jeu de données [Termes IGN] modèle logique de données [Termes IGN] modèle numérique bathymétrique [Termes IGN] profil bathymétrique [Termes IGN] sonar [Termes IGN] triangulation de Delaunay Résumé : (Auteur) This paper presents a complete methodology for the reconstruction of a digital bathymetric model from a set of scattered data. Given a set of N scattered data representing the most significant points of a bathymetric surface that have been sampled in situ over a certain area or domain, the algorithms construct a triangulation of the domain using a minimal Euclidean distance criteria with the vertices of the triangulation and interpolated suface based on profiles obtained from the original scattered dataset. This bathymetric surface is obtained applying our methodology called "rational profiles" due to every profile being obtained from a grid which has been defined with a step as a relation of two integer numbers. The main contribution of this paper lies in two fields : the triangulation method and rational profile interpolation. We show an efficient algorithm based on a modified Delaunay triangulation called "Minimum Total Distance" (MTD), applicable locally or globally. We have also developed a new set of algorithms to generate a rational grid from the original large data set so as to produce the interpolation over the domain generating the final surface. By applying this methodology to many real samples, we have demonstrated that it is possible to achieve better running times with these new algorithms. This efficient realization of the algorithms uses adapted dynamic data structures and careful caching in an integrated framework. Numéro de notice : A2004-618 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27127 [article]

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