dot-smooth_gauss_kernel: Compute the 2-D Gaussian kernel
In bayesEO: Bayesian Smoothing of Remote Sensing Image Classification
.smooth_gauss_kernel R Documentation
Compute the 2-D Gaussian kernel
Description
Compute the 2-D Gaussian kernel
Usage
.smooth_gauss_kernel(window_size, sigma)
Arguments
window_size
Size of the neighbourhood.
sigma
Standard deviation of the spatial Gaussian kernel
Value
returns a squared matrix filled with Gaussian function
bayesEO documentation built on June 22, 2024, 10:32 a.m.
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| .smooth_gauss_kernel | R Documentation |
Compute the 2-D Gaussian kernel
Description
Compute the 2-D Gaussian kernel
Usage
.smooth_gauss_kernel(window_size, sigma)
Arguments
window_size |
Size of the neighbourhood. |
sigma |
Standard deviation of the spatial Gaussian kernel |
Value
returns a squared matrix filled with Gaussian function
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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