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 |
Documentation:
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