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downscaledl
View on CRAN: Click
here
Download and install downscaledl package within the R console
Install from CRAN:
install.packages("downscaledl")
Install from Github:
library("remotes")
install_github("cran/downscaledl")
Install by package version:
library("remotes")
install_version("downscaledl", "1.0")
Attach the package and use:
library("downscaledl")
Maintained by
Lianfa Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2019-10-24
Latest Update: 2019-10-24
Description:
Downscaling the coarse-resolution remote sensing
images into fined-resolution images is important for
preprocessing. This package provides the functions for this
with high accuracy. Currently, the resautonet is used
as the deep learning algorithm for downscaling.
This work was done based on this paper,
Lianfa Li (2019) .
How to cite:
Lianfa Li (2019). downscaledl: Downscale of RS Images using Deep Learning. R package version 1.0, https://cran.r-project.org/web/packages/downscaledl. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.0 (2019-10-24 18:20)
Other packages that cited downscaledl R package
View downscaledl citation profile
Other R packages that downscaledl depends,
imports, suggests or enhances
Functions, R codes and Examples using
the downscaledl R package
Some associated functions: AutoEncoderModel . ResautoDownscale . downscaledl-package . hiddenBlock . keras_r2 . r2_squ . rSquared . rcpparmabasic . rmse .
Some associated R codes: RcppExports.R . downscaleautonet.R . metrics.R . resautomodel.R . Full downscaledl package functions and examples
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