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A comparison of multiple-point statistics and two-point statistics for spectral-spatial land cover classification

2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2016
Incorporating spatial information quantified by geostatistical tools to improve the classification of remotely sensed data is a promising method. Most existing studies only focused on the development of geostatistics-based spectral-spatial classification methods.
null Zhongkui Shi, null Peijun Li
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Statistical inference for multiple change‐point models

Scandinavian Journal of Statistics, 2020
AbstractIn this article, we propose a new technique for constructing confidence intervals for the mean of a noisy sequence with multiple change‐points. We use the weighted bootstrap to generalize the bootstrap aggregating or bagging estimator. A standard deviation formula for the bagging estimator is introduced, based on which smoothed confidence ...
Wu Wang, Xuming He, Zhongyi Zhu
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Comparison of multiple point and statistical motor unit number estimation

Muscle and Nerve, 2000
This study compares two common techniques for motor unit number estimation, multiple point stimulation and statistical method, to determine which is more reproducible. Surface recorded motor unit action potentials (SMUPs) of the left hypothenar muscle group were measured on 20 controls and 10 ALS patients.
Catherine Lomen-Hoerth, Richard K Olney
exaly   +3 more sources

GPU-based SNESIM implementation for multiple-point statistical simulation

Computers and Geosciences, 2013
Among techniques applied to categorical variables simulation, multiple-point statistical simulation is widely used because of its non-iterative characteristic and powerful capability of curvilinear features reproduction. In current implementations, the multiple-point statistics (MPS) are inferred from the training image by storing all the observed ...
Detang Lu, Xue Li
exaly   +2 more sources

Pore space reconstruction using multiple-point statistics

Journal of Petroleum Science and Engineering, 2005
The reconstruction of porous media is of great interest in a wide variety of fields, including earth science and engineering, biology, and medicine. To predict multiphase flow through geologically realistic porous media it is necessary to have a three-dimensional (3D) representation of the pore space.
Hiroshi Okabe, Martin J Blunt
exaly   +2 more sources

Some aspects of multiple-point statistics

, 2007
In many earth sciences applications, the geological structures to be reproduced are curvilinear. Although locally accurate in a minimum error variance sense, traditional methods based on some form of kriging are not sensitive to the presence of strings of connectivity of low or high values.
DE IACO, Sandra, CONZA E.
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Estimation using multiple-point statistics

Computers & Geosciences, 2021
Abstract In the last two decades, several geostatistical simulation techniques have appeared that allow taking into account complex structural information, by quantifying a multiple-point statistical (MPS) model. The higher-order statistics are typically informed from a training image, sample model, or geological exposure.
Óli D. Jóhannsson, Thomas Mejer Hansen
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