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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: | 0.1.1 |
Depends: | R (≥ 2.10) |
Imports: | Rcpp |
LinkingTo: | Rcpp, BH |
Suggests: | tinytest |
Published: | 2024-07-04 |
DOI: | 10.32614/CRAN.package.RMCC |
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_0.1.1.tar.gz |
Windows binaries: | r-devel: RMCC_0.1.1.zip, r-release: RMCC_0.1.1.zip, r-oldrel: RMCC_0.1.1.zip |
macOS binaries: | r-release (arm64): RMCC_0.1.1.tgz, r-oldrel (arm64): RMCC_0.1.1.tgz, r-release (x86_64): RMCC_0.1.1.tgz, r-oldrel (x86_64): RMCC_0.1.1.tgz |
Old sources: | RMCC archive |
Reverse suggests: | lidR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.