Results 21 to 30 of about 1,087,662 (308)

A Hybrid Model Integrating Spatial Pattern, Spatial Correlation, and Edge Information for Image Classification

open access: yesRemote Sensing, 2019
This paper develops a novel hybrid model that integrates three spatial contexts into probabilistic classifiers for remote sensing classification. First, spatial pattern is introduced using multiple-point geostatistics (MPGs) to characterize the general ...
Yunwei Tang   +4 more
doaj   +1 more source

Extended GOSIM: MPS‐Driven Simulation of 3D Geological Structure Using 2D Cross‐Sections

open access: yesEarth and Space Science, 2022
In the past two decades, algorithms for multiple‐point statistics (MPS) have been applied in many fields. However, 3D training datum or data (TD) is difficult to be obtained.
Weisheng Hou   +4 more
doaj   +1 more source

The Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment

open access: yesRemote Sensing, 2019
Low frequency loop-loop electromagnetic induction (EMI) is a widely-used geophysical measurement method to rapidly measure in situ the apparent electrical conductivity (ECa) of variably-saturated soils.
Davood Moghadas, Jasper A. Vrugt
doaj   +1 more source

Local inhomogeneous weighted summary statistics for marked point processes [PDF]

open access: yes, 2022
We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and higher, for general marked point processes. Depending on how the involved weight function is specified, these summary statistics capture different kinds of ...
D\u27Angelo, Nicoletta   +16 more
core   +1 more source

Parallel implementation of simulated annealing to reproduce multiple-point statistics

open access: yesComputers & Geosciences, 2011
This paper shows an innovative implementation of simulated annealing in the context of parallel computing. Details regarding the use of parallel computing through a cluster of processors, as well as the implementation decisions, are provided. Simulated annealing is presented aiming at the generation of stochastic realizations of categorical variables ...
Oscar Peredo, Julián M. Ortiz
openaire   +3 more sources

A location-based multiple point statistics method: modelling the reservoir with non-stationary characteristics

open access: yesOpen Geosciences, 2017
In this paper, a location-based multiple point statistics method is developed to model a non-stationary reservoir. The proposed method characterizes the relationship between the sedimentary pattern and the deposit location using the relative central ...
Yin Yanshu, Feng Wenjie
doaj   +1 more source

An ANOVA-type test for multiple change points in the mean of long memory time sequence

open access: yesXi'an Gongcheng Daxue xuebao, 2021
In order to study the multiple change points test of the mean of linear long memory, the ANOVA statistics was constructed and the limit distribution was proved under the hypothesis condition.
Dou LIU, Wenzhi ZHAO
doaj   +1 more source

GAME TRENDS OF THE TURKISH BASKETBALL SUPER LEAGUE

open access: yesSpormetre Beden Eğitimi ve Spor Bilimleri Dergisi, 2023
Although basketball is a highly followed sport in Turkey, there is a noticeable lack of research on the Turkish Basketball Super League, regarding the changes and game trends that have occurred over the years.
Övünç Erdeveciler
doaj   +1 more source

Recursive convolutional neural networks in a multiple-point statistics framework

open access: yesComputers & Geosciences, 2019
Abstract This work proposes a new technique for multiple-point statistics simulation based on a recursive convolutional neural network approach coined RCNN . The work focuses on methodology and implementation rather than performance to demonstrate the potential of deep learning techniques in geosciences.
Sebastian Avalos, Julián M. Ortiz
openaire   +1 more source

Structural change detection in ordinal time series.

open access: yesPLoS ONE, 2021
Change-point detection in health care data has recently obtained considerable attention due to the increased availability of complex data in real-time. In many applications, the observed data is an ordinal time series.
Fuxiao Li, Mengli Hao, Lijuan Yang
doaj   +1 more source

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