downscaledl: Downscale of RS Images using Deep Learning

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) <doi:10.3390/rs11111378>.

Version: 1.0
Depends: R (≥ 3.1)
Imports: Rcpp (≥ 1.0.0), rstack, dplyr, magrittr, keras, raster, parallel, tensorflow, sp, rgdal
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-10-24
Author: Lianfa Li
Maintainer: Lianfa Li <lspatial at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: downscaledl results

Downloads:

Reference manual: downscaledl.pdf
Package source: downscaledl_1.0.tar.gz
Windows binaries: r-devel: downscaledl_1.0.zip, r-release: downscaledl_1.0.zip, r-oldrel: downscaledl_1.0.zip
OS X binaries: r-release: downscaledl_1.0.tgz, r-oldrel: downscaledl_1.0.tgz

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