CRAN/E | downscaledl

downscaledl

Downscale of RS Images using Deep Learning

Installation

About

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.

System requirements C++11

Key Metrics

Version 1.0
R ≥ 3.1
Published 2019-10-24 1640 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks downscaledl results

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Maintainer

Maintainer

Lianfa Li

lspatial@gmail.com

Authors

Lianfa Li

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.1

Imports

Rcpp ≥1.0.0
rstack
dplyr
magrittr
keras
raster
parallel
tensorflow
sp
rgdal

LinkingTo

Rcpp
RcppArmadillo