RMCC: Airborne LiDAR Filtering Method Based on Multiscale Curvature

Multiscale Curvature Classification of ground returns in 3-D LiDAR point clouds, designed for forested environments. 'RMCC' is a porting to R of the 'MCC-lidar' method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: Rcpp
LinkingTo: Rcpp, BH
Suggests: tinytest
Published: 2022-02-08
Author: Jean-Romain Roussel [aut, cre], Evans Jeffrey S [aut], Hudak Andrew T [aut], Green Code LLC [cph] (Author of the mcc code under US federally funded contract), Jarno Elonen [cph] (Author of the included thin plate spline library), Thomas Becker [cph] (Author of the included any_iterator library)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1 at ulaval.ca>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: RMCC results


Reference manual: RMCC.pdf


Package source: RMCC_0.1.0.tar.gz
Windows binaries: r-devel: RMCC_0.1.0.zip, r-release: RMCC_0.1.0.zip, r-oldrel: RMCC_0.1.0.zip
macOS binaries: r-release (arm64): RMCC_0.1.0.tgz, r-oldrel (arm64): RMCC_0.1.0.tgz, r-release (x86_64): RMCC_0.1.0.tgz, r-oldrel (x86_64): RMCC_0.1.0.tgz

Reverse dependencies:

Reverse suggests: lidR


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