Modified planar rotator (MPR) method
MPR is a novel conditional simulation method for the efficient prediction of missing data on two-dimensional Cartesian grids, based on the modified planar rotator (MPR) model. The MPR captures spatial correlations using nearest-neighbor spin interactions and does not rely on Gaussian assumptions. The only model parameter is the reduced temperature, which we estimate by means of an ergodic specific energy matching principle. We propose an efficient hybrid Monte Carlo algorithm that leads to fast relaxation of the MPR model and allows vectorization. Consequently, the MPR computational time scales approximately linearly with system size. This makes it more suitable for big data sets, such as satellite and radar images, than conventional geostatistical approaches. The performance (accuracy and computational speed) of the MPR model is validated with Gaussian synthetic and non-Gaussian real data (atmospheric heat release measurements and Walker-lake DEM-based concentrations) via comparisons with standard gap-filling methods (for more details see the paper on https://arxiv.org/pdf/1710.03038.pdf).
Citar como
Milan Zukovic (2024). Modified planar rotator (MPR) method (https://www.mathworks.com/matlabcentral/fileexchange/64783-modified-planar-rotator-mpr-method), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- Image Processing and Computer Vision > Computer Vision Toolbox > Point Cloud Processing > Display Point Clouds >
Etiquetas
Agradecimientos
Inspirado por: ADAPTIVE DEGREE SMOOTHING AND DIFFERENTIATION
Inspiración para: MPRS method
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
MPR/
MPR/adsmoothdiff/
Versión | Publicado | Notas de la versión | |
---|---|---|---|
1.0.0.0 |
Cover image updated
|