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 |
| 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 |
| macOS binaries: | r-release: downscaledl_1.0.tgz, r-oldrel: downscaledl_1.0.tgz |
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