A fast edge-based two-stage direct sampling method

Détails

ID Serval
serval:BIB_F49F1BD9A242
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A fast edge-based two-stage direct sampling method
Périodique
Computers & Geosciences
Auteur⸱e⸱s
Bai Hexiang, Mariethoz Gregoire
ISSN
0098-3004
Statut éditorial
Publié
Date de publication
05/2021
Peer-reviewed
Oui
Volume
150
Pages
104742
Langue
anglais
Résumé
Direct sampling is an efficient information theory-based multipoint simulation method. To reduce the computational cost, many approaches have been proposed to speed up this simulation method. In this paper, an edge-based two-stage strategy is proposed to achieve speed-up. The proposed method first performs a simulation on a coarse grid and then detects edge cells in the simulation grid. Next, only edge cells are simulated, and the remaining cells are assigned the average value of the neighbouring simulated and hard data cells. The proposed method needs only one easily-interpreted parameter and can be combined with other existing acceleration methods for direct sampling, such as parallelization. Comparison experiments are performed on categorical, continuous and multivariate variables, including two-dimensional and three dimensional examples. The experimental results show that the proposed method can reduce the simulation time by almost half with minimal loss in terms of pattern reproduction.
Mots-clé
Multipoint simulation, Direct sampling, Edge detection
Web of science
Création de la notice
10/03/2021 14:18
Dernière modification de la notice
03/12/2022 6:48
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