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Semivariogram fitting based on SVM and GPR for DEM interpolation
A. Setiyoko
,
A. M. Arymurthy
,
T. Basaruddin
, R. Arief
Department of Computer Science
Research output
:
Contribution to journal
›
Conference article
›
peer-review
7
Citations (Scopus)
Overview
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Keyphrases
Accuracy-based
20%
Approximation Process
20%
Digital Elevation Model
100%
Digital Model
20%
Earth Surface
20%
Fitting Process
20%
Gaussian Process Regression
100%
Imagery Processes
20%
Interpolation Process
20%
Least Squares Support Vector Machine
20%
Least Squares Support Vector Regression (LSSVR)
20%
Machine Learning
20%
Model Accuracy
20%
Model Interpolation
100%
Ordinary Kriging
20%
Ordinary Kriging Interpolation
20%
Prediction Accuracy
20%
Regression Process
20%
Remote Sensing Technology
20%
Semivariogram
100%
Stereo Imagery
20%
Stereo Imaging
20%
Stochastic Interpolation
20%
Surface Elevation
20%
Value-based
20%
Engineering
Digital Elevation Model
100%
Gaussians
100%
Learning System
20%
Least Square
20%
Process Stage
20%
Semivariogram
100%
Support Vector Machine
40%
Medicine and Dentistry
Digital Model
100%
Least Square Analysis
100%
Remote Sensing
100%
Computer Science
Approximation (Algorithm)
33%
Learning System
33%
least square support vector machine
33%
Machine Learning
33%
Model Accuracy
33%
Support Vector Machine
100%
Support Vector Regression
33%
Agricultural and Biological Sciences
Digital Elevation Model
100%
Kriging
100%
Least Square
20%
Remote Sensing
20%
Support Vector Machine
40%