Filter-Based Classification of Training Image Patterns for Spatial Simulation
By Tuanfeng Zhang, Paul Switzer, André G. Journel. 2006
361 citations recorded by the source corpus.
Subfields: Building and Construction, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/ef04c2fe0044f430ec19ec983cc43b1027dc6a0e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Muhammad Sahimi
- Pejman Tahmasebi
- Philippe Renard
- Julien Straubhaar
- Gregoire Mariethoz
- Ardeshir Hezarkhani
In Environmental Engineering
- Philippe Renard
- Muhammad Sahimi
- Pejman Tahmasebi
- Gregoire Mariethoz
- Julien Straubhaar
- Jef Caers
- Ardeshir Hezarkhani
- Fabio Oriani
Citations in the corpus
- Multiple-point geostatistical modeling based on the cross-correlation functions (2012, methodology): “[79] and represents a complex structure of bricks with the size of 200 × 200.”
- The Direct Sampling method to perform multiple‐point geostatistical simulations (2010, methodology): “Specific weights can be defined if some of the data event nodes are conditioning data, as described by Zhang et al. [2006] .”
- Enhancing multiple‐point geostatistical modeling: 1. Graph theory and pattern adjustment (2016, methodology): “In another attempt, a pattern-based simulation method––the SIMPAT algorithm––[Arpat and Caers, 2007; Zhang et al., 2006; Honarkhah and Caers, 2010] and its modification [Mariethoz et al.”
- High-order Stochastic Simulation of Complex Spatially Distributed Natural Phenomena (2010, background): “Similar remarks are generally valid for the filtersim algorithm (Zhang et al. 2006), which uses a limited number of linear filters and may degenerate sample effects.”
- Conditional Simulation with Patterns (2007, background): “A solution to this problem is proposed in Zhang et al. (2006) where the dimensionality of pattern with several”
- Simulation of rainfall time series from different climatic regions using the direct sampling technique (2014, background): “Introduced by Guardiano15 and Srivastava (1993) and widely developed during the last decade (Strebelle, 2002; Allard et al., 2006; Zhang et al., 2006; Arpat and Caers, 2007; Honarkhah and Caers, 2010; Straubhaar et al., 2011; Tahmasebi et al., 2012), MPS is a family of geostatistical techniques…”