Spatially adaptive smoothing parameter selection for Markov random field based sub-pixel mapping of remotely sensed images

International Journal of Remote Sensing ◽

10.1080/01431161.2012.703347 ◽

2012 ◽

Vol 33 (24) ◽

pp. 7886-7901 ◽

Author(s):

Xiaodong Li ◽

Yun Du ◽

Feng Ling

Keyword(s):

Random Field ◽

Markov Random Field ◽

Parameter Selection ◽

Smoothing Parameter ◽

Adaptive Smoothing ◽

Smoothing Parameter Selection ◽

Markov Random ◽

Spatially Adaptive ◽

Selection For ◽

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Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images

International Journal of Remote Sensing ◽

10.1080/01431161.2015.1049381 ◽

2015 ◽

Vol 36 (11) ◽

pp. 2851-2879 ◽

Author(s):

H. Aghighi ◽

J. Trinder ◽

S. Lim ◽

Y. Tarabalka

Keyword(s):

Parameter Estimation ◽

Random Field ◽

Markov Random Field ◽

Super Resolution ◽

Adaptive Smoothing ◽

Markov Random ◽

Spatially Adaptive ◽

Resolution Mapping ◽

Super Resolution Mapping ◽

Smoothing Parameter Estimation

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Local weighted composite quantile estimation and smoothing parameter selection for nonparametric derivative function

Econometric Reviews ◽

10.1080/07474938.2019.1580947 ◽

2019 ◽

Vol 39 (3) ◽

pp. 215-233

Author(s):

Qichang Xie ◽

Qiankun Sun ◽

Junxian Liu

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Quantile Estimation ◽

Derivative Function ◽

Smoothing Parameter Selection ◽

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Smoothing parameter selection for smoothing splines: a simulation study

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(02)00159-7 ◽

2003 ◽

Vol 42 (1-2) ◽

pp. 139-148 ◽

Author(s):

Thomas C.M. Lee

Keyword(s):

Simulation Study ◽

Smoothing Splines ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

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Spatially adaptive Bayesian image reconstruction through locally-modulated Markov random field models

Brazilian Journal of Probability and Statistics ◽

10.1214/18-bjps399 ◽

2019 ◽

Vol 33 (3) ◽

pp. 498-519

Author(s):

Salem M. Al-Gezeri ◽

Robert G. Aykroyd

Keyword(s):

Image Reconstruction ◽

Random Field ◽

Markov Random Field ◽

Markov Random ◽

Spatially Adaptive ◽

Bayesian Image Reconstruction

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Variance Estimation and Smoothing-Parameter Selection for Spline Regression

Smoothing and Regression - Wiley Series in Probability and Statistics ◽

10.1002/9781118150658.ch2 ◽

2012 ◽

pp. 19-41

Author(s):

Angelika van der Linde

Keyword(s):

Variance Estimation ◽

Parameter Selection ◽

Smoothing Parameter ◽

Spline Regression ◽

Smoothing Parameter Selection ◽

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Smoothing parameter selection for smooth distribution functions

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(93)90068-h ◽

1993 ◽

Vol 35 (1) ◽

pp. 65-75 ◽

Author(s):

P. Sarda

Keyword(s):

Parameter Selection ◽

Distribution Functions ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

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Scale selection for anisotropic diffusion filter by Markov random field model

Pattern Recognition ◽

10.1016/j.patcog.2010.02.019 ◽

2010 ◽

Vol 43 (8) ◽

pp. 2630-2645 ◽

Author(s):

Jian Sun ◽

Zongben Xu

Keyword(s):

Random Field ◽

Markov Random Field ◽

Anisotropic Diffusion ◽

Field Model ◽

Scale Selection ◽

Diffusion Filter ◽

Markov Random Field Model ◽

Anisotropic Diffusion Filter ◽

Markov Random ◽

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Nonlinearly Smoothed EM Density Estimation with Automated Smoothing Parameter Selection for Nonparametric Deconvolution Problems

Journal of the American Statistical Association ◽

10.1080/01621459.1997.10473666 ◽

1997 ◽

Vol 92 (440) ◽

pp. 1451-1458 ◽

Author(s):

P. P. B. Eggermont ◽

V. N. Lariccia

Keyword(s):

Density Estimation ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

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Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions

Statistica Neerlandica ◽

10.1111/stan.12088 ◽

2016 ◽

Vol 70 (4) ◽

pp. 278-303

Author(s):

Takuma Yoshida

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Loss Functions ◽

Spline Regression ◽

Penalized Spline ◽

Smoothing Parameter Selection ◽

Selection For ◽

Penalized Spline Regression

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Gradient-based smoothing parameter selection for nonparametric regression estimation

Journal of Econometrics ◽

10.1016/j.jeconom.2014.09.007 ◽

2015 ◽

Vol 184 (2) ◽

pp. 233-241 ◽

Author(s):

Daniel J. Henderson ◽

Qi Li ◽

Christopher F. Parmeter ◽

Shuang Yao

Keyword(s):

Nonparametric Regression ◽

Parameter Selection ◽

Smoothing Parameter ◽

Regression Estimation ◽

Nonparametric Regression Estimation ◽

Smoothing Parameter Selection ◽

Gradient Based ◽

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