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FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGERY WITH REGRESSION KRIGING AND THE LULU OPERATORS; A COMPARISON
Image fusion Regression Kriging LULU operators Classification, Slums
2019/2/28
In this digital world, there is a large requirement of high resolution satellite image. Images at a low resolution may contain relevant information that has to be integrated with the high resolution i...
SPECTRAL REGRESSION DISCRIMINANT ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Dimensionality reduction Hyperspectral image classification manifold learning Eigen-decomposition Spectral regression discriminant analysis Embedding function
2014/4/28
Dimensionality reduction algorithms, which aim to select a small set of efficient and discriminant features, have attracted great attention for Hyperspectral Image Classification. The manifold learnin...
Nonparametric Regression using the Concept of Minimum Energy
Nonparametric Regression Concept Minimum Energy Nuclear Experiment
2011/8/4
Abstract: It has recently been shown that an unbinned distance-based statistic, the energy, can be used to construct an extremely powerful nonparametric multivariate two sample goodness-of-fit test. A...
Dimensionally Constrained Symbolic Regression
Symbolic Regression Dimensionally Constrained
2011/9/14
We describe dimensionally constrained symbolic regression which has been developed for mass measurement in certain classes of events in high-energy physics (HEP).With symbolic regression, we can deriv...
Modelling longwave radiation to snow beneath forest canopies using hemispherical photography or linear regression
forest snow canopy radiation modelling longwave radiation hemispherical photography
2014/4/3
Forest canopies reduce shortwave radiation and increase longwave radiation reaching the underlying surface, compared with
open areas, and thus influence rates at which forest snowpacks melt. Th...
Phase Space Prediction of Chaotic Time Series with Nu-Support Vector
Machine Regression
chaotic time series phase space prediction support vector machines
2007/8/15
2005Vol.43No.1pp.102-106DOI:
Phase Space Prediction of Chaotic Time Series with Nu-Support Vector
Machine Regression
YE Mei-Ying1 and WANG Xiao-Dong2
1 College of Mathem...